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Guillermo Sapiro

James B. Duke Distinguished Professor of Electrical and Computer Engineering
Electrical and Computer Engineering
Office hours By appointment. Contact via e-mail.  

Selected Publications


Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria.

Journal Article Cerebellum (London, England) · April 2024 Dysarthria is a common manifestation across cerebellar ataxias leading to impairments in communication, reduced social connections, and decreased quality of life. While dysarthria symptoms may be present in other neurological conditions, ataxic dysarthria ... Full text Cite

To do no harm - and the most good - with AI in health care.

Journal Article Nature medicine · March 2024 Full text Cite

Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial.

Journal Article PLoS One · 2024 BACKGROUND: While early autism intervention can significantly improve outcomes, gaps in implementation exist globally. These gaps are clearest in Africa, where forty percent of the world's children will live by 2050. Task-sharing early intervention to non- ... Full text Link to item Cite

Modeling personalized heart rate response to exercise and environmental factors with wearables data

Journal Article npj Digital Medicine · December 1, 2023 Heart rate (HR) response to workout intensity reflects fitness and cardiorespiratory health. Physiological models have been developed to describe such heart rate dynamics and characterize cardiorespiratory fitness. However, these models have been limited t ... Full text Cite

Early detection of autism using digital behavioral phenotyping.

Journal Article Nat Med · October 2023 Early detection of autism, a neurodevelopmental condition associated with challenges in social communication, ensures timely access to intervention. Autism screening questionnaires have been shown to have lower accuracy when used in real-world settings, su ... Full text Link to item Cite

Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors.

Conference Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023) · October 2023 The localization and tracking of neurocranial landmarks is essential in modern medical procedures, e.g., transcranial magnetic stimulation (TMS). However, state-of-the-art treatments still rely on the manual identification of head targets and require setti ... Full text Link to item Cite

A large-scale observational study of the causal effects of a behavioral health nudge.

Journal Article Science advances · September 2023 Nudges are interventions promoting healthy behavior without forbidding options or substantial incentives; the Apple Watch, for example, encourages users to stand by delivering a notification if they have been sitting for the first 50 minutes of an hour. On ... Full text Cite

Enhancing early autism prediction based on electronic records using clinical narratives.

Journal Article J Biomed Inform · August 2023 Recent work has shown that predictive models can be applied to structured electronic health record (EHR) data to stratify autism likelihood from an early age (<1 year). Integrating clinical narratives (or notes) with structured data has been shown to impro ... Full text Link to item Cite

Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.

Journal Article Autism Res · July 2023 Early behavioral markers for autism include differences in social attention and orienting in response to one's name when called, and differences in body movements and motor abilities. More efficient, scalable, objective, and reliable measures of these beha ... Full text Link to item Cite

Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach.

Journal Article Sci Rep · May 3, 2023 Differences in social attention are well-documented in autistic individuals, representing one of the earliest signs of autism. Spontaneous blink rate has been used to index attentional engagement, with lower blink rates reflecting increased engagement. We ... Full text Link to item Cite

Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report.

Journal Article J Autism Dev Disord · April 27, 2023 We report preliminary results of computer vision analysis of caregiver-child interactions during free play with children diagnosed with autism (N = 29, 41-91 months), attention-deficit/hyperactivity disorder (ADHD, N = 22, 48-100 months), or combined autis ... Full text Link to item Cite

A tablet-based game for the assessment of visual motor skills in autistic children.

Journal Article NPJ Digit Med · February 3, 2023 Increasing evidence suggests that early motor impairments are a common feature of autism. Thus, scalable, quantitative methods for measuring motor behavior in young autistic children are needed. This work presents an engaging and scalable assessment of vis ... Full text Open Access Link to item Cite

Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year.

Journal Article JAMA Netw Open · February 1, 2023 IMPORTANCE: Autism detection early in childhood is critical to ensure that autistic children and their families have access to early behavioral support. Early correlates of autism documented in electronic health records (EHRs) during routine care could all ... Full text Link to item Cite

Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder.

Journal Article IEEE Trans Affect Comput · 2023 Atypical facial expression is one of the early symptoms of autism spectrum disorder (ASD) characterized by reduced regularity and lack of coordination of facial movements. Automatic quantification of these behaviors can offer novel biomarkers for screening ... Full text Link to item Cite

Complexity analysis of head movements in autistic toddlers.

Journal Article J Child Psychol Psychiatry · January 2023 BACKGROUND: Early differences in sensorimotor functioning have been documented in young autistic children and infants who are later diagnosed with autism. Previous research has demonstrated that autistic toddlers exhibit more frequent head movement when vi ... Full text Link to item Cite

Motion robust magnetic resonance imaging via efficient Fourier aggregation.

Journal Article Medical image analysis · January 2023 We present a method for suppressing motion artifacts in anatomical magnetic resonance acquisitions. Our proposed technique, termed MOTOR-MRI, can recover and salvage images which are otherwise heavily corrupted by motion induced artifacts and blur which re ... Full text Cite

Shorter average look durations to dynamic social stimuli are associated with higher levels of autism symptoms in young autistic children.

Journal Article Autism · August 2022 Many studies of autism look at the differences in how autistic research participants look at certain types of images. These studies often focus on where research participants are looking within the image, but that does not tell us everything about how much ... Full text Link to item Cite

Minimax Demographic Group Fairness in Federated Learning

Conference ACM International Conference Proceeding Series · June 21, 2022 Federated learning is an increasingly popular paradigm that enables a large number of entities to collaboratively learn better models. In this work, we study minimax group fairness in federated learning scenarios where different participating entities may ... Full text Cite

Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery.

Journal Article Int J Comput Assist Radiol Surg · March 2022 PURPOSE: Reconstructive surgeries to treat a number of musculoskeletal conditions, from arthritis to severe trauma, involve implant placement and reconstructive planning components. Anatomically matched 3D-printed implants are becoming increasingly patient ... Full text Link to item Cite

Parent strategies for expanding food variety: Reflections of 19,239 adults with symptoms of Avoidant/Restrictive Food Intake Disorder.

Journal Article Int J Eat Disord · January 2022 OBJECTIVE: To characterize helpful parent feeding strategies using reflections on childhood eating experiences of adults with symptoms of Avoidant/Restrictive Food Intake Disorder (ARFID). METHOD: We explored a unique text-based dataset gathered from a pop ... Full text Link to item Cite

Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria.

Journal Article Cerebellum (London, England) · April 2024 Dysarthria is a common manifestation across cerebellar ataxias leading to impairments in communication, reduced social connections, and decreased quality of life. While dysarthria symptoms may be present in other neurological conditions, ataxic dysarthria ... Full text Cite

To do no harm - and the most good - with AI in health care.

Journal Article Nature medicine · March 2024 Full text Cite

Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial.

Journal Article PLoS One · 2024 BACKGROUND: While early autism intervention can significantly improve outcomes, gaps in implementation exist globally. These gaps are clearest in Africa, where forty percent of the world's children will live by 2050. Task-sharing early intervention to non- ... Full text Link to item Cite

Modeling personalized heart rate response to exercise and environmental factors with wearables data

Journal Article npj Digital Medicine · December 1, 2023 Heart rate (HR) response to workout intensity reflects fitness and cardiorespiratory health. Physiological models have been developed to describe such heart rate dynamics and characterize cardiorespiratory fitness. However, these models have been limited t ... Full text Cite

Early detection of autism using digital behavioral phenotyping.

Journal Article Nat Med · October 2023 Early detection of autism, a neurodevelopmental condition associated with challenges in social communication, ensures timely access to intervention. Autism screening questionnaires have been shown to have lower accuracy when used in real-world settings, su ... Full text Link to item Cite

Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors.

Conference Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023) · October 2023 The localization and tracking of neurocranial landmarks is essential in modern medical procedures, e.g., transcranial magnetic stimulation (TMS). However, state-of-the-art treatments still rely on the manual identification of head targets and require setti ... Full text Link to item Cite

A large-scale observational study of the causal effects of a behavioral health nudge.

Journal Article Science advances · September 2023 Nudges are interventions promoting healthy behavior without forbidding options or substantial incentives; the Apple Watch, for example, encourages users to stand by delivering a notification if they have been sitting for the first 50 minutes of an hour. On ... Full text Cite

Enhancing early autism prediction based on electronic records using clinical narratives.

Journal Article J Biomed Inform · August 2023 Recent work has shown that predictive models can be applied to structured electronic health record (EHR) data to stratify autism likelihood from an early age (<1 year). Integrating clinical narratives (or notes) with structured data has been shown to impro ... Full text Link to item Cite

Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.

Journal Article Autism Res · July 2023 Early behavioral markers for autism include differences in social attention and orienting in response to one's name when called, and differences in body movements and motor abilities. More efficient, scalable, objective, and reliable measures of these beha ... Full text Link to item Cite

Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach.

Journal Article Sci Rep · May 3, 2023 Differences in social attention are well-documented in autistic individuals, representing one of the earliest signs of autism. Spontaneous blink rate has been used to index attentional engagement, with lower blink rates reflecting increased engagement. We ... Full text Link to item Cite

Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report.

Journal Article J Autism Dev Disord · April 27, 2023 We report preliminary results of computer vision analysis of caregiver-child interactions during free play with children diagnosed with autism (N = 29, 41-91 months), attention-deficit/hyperactivity disorder (ADHD, N = 22, 48-100 months), or combined autis ... Full text Link to item Cite

A tablet-based game for the assessment of visual motor skills in autistic children.

Journal Article NPJ Digit Med · February 3, 2023 Increasing evidence suggests that early motor impairments are a common feature of autism. Thus, scalable, quantitative methods for measuring motor behavior in young autistic children are needed. This work presents an engaging and scalable assessment of vis ... Full text Open Access Link to item Cite

Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year.

Journal Article JAMA Netw Open · February 1, 2023 IMPORTANCE: Autism detection early in childhood is critical to ensure that autistic children and their families have access to early behavioral support. Early correlates of autism documented in electronic health records (EHRs) during routine care could all ... Full text Link to item Cite

Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder.

Journal Article IEEE Trans Affect Comput · 2023 Atypical facial expression is one of the early symptoms of autism spectrum disorder (ASD) characterized by reduced regularity and lack of coordination of facial movements. Automatic quantification of these behaviors can offer novel biomarkers for screening ... Full text Link to item Cite

Complexity analysis of head movements in autistic toddlers.

Journal Article J Child Psychol Psychiatry · January 2023 BACKGROUND: Early differences in sensorimotor functioning have been documented in young autistic children and infants who are later diagnosed with autism. Previous research has demonstrated that autistic toddlers exhibit more frequent head movement when vi ... Full text Link to item Cite

Motion robust magnetic resonance imaging via efficient Fourier aggregation.

Journal Article Medical image analysis · January 2023 We present a method for suppressing motion artifacts in anatomical magnetic resonance acquisitions. Our proposed technique, termed MOTOR-MRI, can recover and salvage images which are otherwise heavily corrupted by motion induced artifacts and blur which re ... Full text Cite

Shorter average look durations to dynamic social stimuli are associated with higher levels of autism symptoms in young autistic children.

Journal Article Autism · August 2022 Many studies of autism look at the differences in how autistic research participants look at certain types of images. These studies often focus on where research participants are looking within the image, but that does not tell us everything about how much ... Full text Link to item Cite

Minimax Demographic Group Fairness in Federated Learning

Conference ACM International Conference Proceeding Series · June 21, 2022 Federated learning is an increasingly popular paradigm that enables a large number of entities to collaboratively learn better models. In this work, we study minimax group fairness in federated learning scenarios where different participating entities may ... Full text Cite

Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery.

Journal Article Int J Comput Assist Radiol Surg · March 2022 PURPOSE: Reconstructive surgeries to treat a number of musculoskeletal conditions, from arthritis to severe trauma, involve implant placement and reconstructive planning components. Anatomically matched 3D-printed implants are becoming increasingly patient ... Full text Link to item Cite

Parent strategies for expanding food variety: Reflections of 19,239 adults with symptoms of Avoidant/Restrictive Food Intake Disorder.

Journal Article Int J Eat Disord · January 2022 OBJECTIVE: To characterize helpful parent feeding strategies using reflections on childhood eating experiences of adults with symptoms of Avoidant/Restrictive Food Intake Disorder (ARFID). METHOD: We explored a unique text-based dataset gathered from a pop ... Full text Link to item Cite

Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches.

Journal Article IEEE access : practical innovations, open solutions · January 2022 Eye movement assessments have the potential to help in diagnosis and tracking of neurological disorders. Cerebellar ataxias cause profound and characteristic abnormalities in smooth pursuit, saccades, and fixation. Oculomotor dysmetria (i.e., hypermetric a ... Full text Cite

Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters

Journal Article Journal of Machine Learning Research · January 1, 2022 Encoding the scale information explicitly into the representation learned by a convolutional neural network (CNN) is beneficial for many computer vision tasks especially when dealing with multiscale inputs. We study, in this paper, a scaling-translation-eq ... Cite

Changes in the geometry and robustness of diffusion tensor imaging networks: Secondary analysis from a randomized controlled trial of young autistic children receiving an umbilical cord blood infusion.

Journal Article Front Psychiatry · 2022 Diffusion tensor imaging (DTI) has been used as an outcome measure in clinical trials for several psychiatric disorders but has rarely been explored in autism clinical trials. This is despite a large body of research suggesting altered white matter structu ... Full text Link to item Cite

Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations.

Journal Article BME frontiers · January 2022 Objective and Impact Statement. We use deep learning models to classify cervix images-collected with a low-cost, portable Pocket colposcope-with biopsy-confirmed high-grade precancer and cancer. We boost classification performance on a screened-posi ... Full text Cite

A scalable computational approach to assessing response to name in toddlers with autism.

Journal Article J Child Psychol Psychiatry · September 2021 BACKGROUND: This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can ... Full text Link to item Cite

Computational Methods to Measure Patterns of Gaze in Toddlers With Autism Spectrum Disorder.

Journal Article JAMA Pediatr · August 1, 2021 IMPORTANCE: Atypical eye gaze is an early-emerging symptom of autism spectrum disorder (ASD) and holds promise for autism screening. Current eye-tracking methods are expensive and require special equipment and calibration. There is a need for scalable, fea ... Full text Link to item Cite

Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI.

Journal Article Human brain mapping · June 2021 Deep brain stimulation (DBS) surgery has been shown to dramatically improve the quality of life for patients with various motor dysfunctions, such as those afflicted with Parkinson's disease (PD), dystonia, and essential tremor (ET), by relieving motor sym ... Full text Cite

Using text to teach image retrieval

Conference IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · June 1, 2021 Image retrieval relies heavily on the quality of the data modeling and the distance measurement in the feature space. Building on the concept of image manifold, we first propose to represent the feature space of images, learned via neural networks, as a gr ... Full text Cite

Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism.

Journal Article Autism Res · March 2021 Commonly used screening tools for autism spectrum disorder (ASD) generally rely on subjective caregiver questionnaires. While behavioral observation is more objective, it is also expensive, time-consuming, and requires significant expertise to perform. As ... Full text Link to item Cite

Computer Vision Analysis for Quantification of Autism Risk Behaviors.

Journal Article IEEE Trans Affect Comput · 2021 Observational behavior analysis plays a key role for the discovery and evaluation of risk markers for many neurodevelopmental disorders. Research on autism spectrum disorder (ASD) suggests that behavioral risk markers can be observed at 12 months of age or ... Full text Link to item Cite

A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder.

Journal Article IEEE Trans Affect Comput · 2021 Autism spectrum disorder (ASD) is associated with deficits in the processing of social information and difficulties in social interaction, and individuals with ASD exhibit atypical attention and gaze. Traditionally, gaze studies have relied upon precise an ... Full text Link to item Cite

Rethinking Shape From Shading for Spoofing Detection.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2021 Spoofing attacks are critical threats to modern face recognition systems, and most common countermeasures exploit 2D texture features as they are easy to extract and deploy. 3D shape-based methods can substantially improve spoofing prevention, but extracti ... Full text Cite

Nested learning for multi-level classification

Conference ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · January 1, 2021 Deep neural networks models are generally designed and trained for a specific type and quality of data. In this work, we address this problem in the context of nested learning. For many applications, both the input data, at training and testing, and the pr ... Full text Cite

Cirrus: A Long-range Bi-pattern LiDAR Dataset

Conference Proceedings - IEEE International Conference on Robotics and Automation · January 1, 2021 In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR public dataset for autonomous driving tasks such as 3D object detection, critical to highway driving and timely decision making. Our platform is equipped with a high-resolution video cam ... Full text Cite

Blind Pareto Fairness and Subgroup Robustness

Conference Proceedings of Machine Learning Research · January 1, 2021 Much of the work in the field of group fairness addresses disparities between predefined groups based on protected features such as gender, age, and race, which need to be available at train, and often also at test, time. These approaches are static and re ... Cite

Impact of a digital Modified Checklist for Autism in Toddlers-Revised on likelihood and age of autism diagnosis and referral for developmental evaluation.

Journal Article Autism · October 2020 This was a project in primary care for young children (1-2 years old). We tested a parent questionnaire on a tablet. This tablet questionnaire asked questions to see whether the child may have autism. We compared the paper and pencil version of the questio ... Full text Link to item Cite

Accurate detection of cerebellar smooth pursuit eye movement abnormalities via mobile phone video and machine learning.

Journal Article Scientific reports · October 2020 Eye movements are disrupted in many neurodegenerative diseases and are frequent and early features in conditions affecting the cerebellum. Characterizing eye movements is important for diagnosis and may be useful for tracking disease progression and respon ... Full text Cite

A Six-Minute Measure of Vocalizations in Toddlers with Autism Spectrum Disorder.

Journal Article Autism Res · August 2020 To improve early identification of autism spectrum disorder (ASD), we need objective, reliable, and accessible measures. To that end, a previous study demonstrated that a tablet-based application (app) that assessed several autism risk behaviors distinguis ... Full text Open Access Link to item Cite

Attention-Based Network for Weak Labels in Neonatal Seizure Detection.

Journal Article Proc Mach Learn Res · August 2020 Seizures are a common emergency in the neonatal intesive care unit (NICU) among newborns receiving therapeutic hypothermia for hypoxic ischemic encephalopathy. The high incidence of seizures in this patient population necessitates continuous electroencepha ... Link to item Cite

Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature.

Journal Article Sci Rep · July 2, 2020 Ollivier-Ricci curvature is a method for measuring the robustness of connections in a network. In this work, we use curvature to measure changes in robustness of brain networks in children with autism spectrum disorder (ASD). In an open label clinical tria ... Full text Open Access Link to item Cite

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method.

Journal Article IEEE transactions on pattern analysis and machine intelligence · July 2020 Active illumination is a prominent complement to enhance 2D face recognition and make it more robust, e.g., to spoofing attacks and low-light conditions. In the present work we show that it is possible to adopt active illumination to enhance state-of-the-a ... Full text Cite

Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope.

Conference Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · July 2020 We apply feature-extraction and machine learning methods to multiple sources of contrast (acetic acid, Lugol's iodine and green light) from the white Pocket Colposcope, a low-cost point of care colposcope for cervical cancer screening. We combine features ... Full text Cite

Relative Average Look Duration and its Association with Neurophysiological Activity in Young Children with Autism Spectrum Disorder.

Journal Article Sci Rep · February 5, 2020 Autism Spectrum Disorder (ASD) is characterized by early attentional differences that often precede the hallmark symptoms of social communication impairments. Development of novel measures of attentional behaviors may lead to earlier identification of chil ... Full text Link to item Cite

Author Correction: Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder.

Journal Article Sci Rep · January 14, 2020 An amendment to this paper has been published and can be accessed via a link at the top of the paper. ... Full text Link to item Cite

A dictionary approach to domain-invariant learning in deep networks

Journal Article Advances in Neural Information Processing Systems · January 1, 2020 In this paper, we consider domain-invariant deep learning by explicitly modeling domain shifts with only a small amount of domain-specific parameters in a Convolutional Neural Network (CNN). By exploiting the observation that a convolutional filter can be ... Cite

Erratum: Deep neural networks with random Gaussian weights: A universal classification strategy? (IEEE Transactions on Signal Processing (2016) 64:13 (3444-3457) DOI: 10.1109/TSP.2016.2546221)

Journal Article IEEE Transactions on Signal Processing · January 1, 2020 Following a comment correspondence paper, we agree that there is a mistake in one of the formulas in the paper "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? "We show that this error only impacts one claim in the o ... Full text Cite

STOCHASTIC CONDITIONAL GENERATIVE NETWORKS WITH BASIS DECOMPOSITION

Conference 8th International Conference on Learning Representations, ICLR 2020 · January 1, 2020 While generative adversarial networks (GANs) have revolutionized machine learning, a number of open questions remain to fully understand them and exploit their power. One of these questions is how to efficiently achieve proper diversity and sampling of the ... Cite

Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors

Conference Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · January 1, 2020 Deep neural networks (DNNs) are notorious for their vulnerability to adversarial attacks, which are small perturbations added to their input images to mislead their prediction. Detection of adversarial examples is, therefore, a fundamental requirement for ... Full text Cite

Minimax pareto fairness: A multi objective perspective

Conference 37th International Conference on Machine Learning, ICML 2020 · January 1, 2020 In this work we formulate and formally characterize group fairness as a multi-objective optimization problem, where each sensitive group risk is a separate objective. We propose a fairness criterion where a classifier achieves minimax risk and is Pareto-ef ... Cite

Instance-based generalization in reinforcement learning

Conference Advances in Neural Information Processing Systems · January 1, 2020 Agents trained via deep reinforcement learning (RL) routinely fail to generalize to unseen environments, even when these share the same underlying dynamics as the training levels. Understanding the generalization properties of RL is one of the challenges o ... Cite

Range adaptation for 3d object detection in LiDAR

Journal Article Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 · October 1, 2019 LiDAR-based 3D object detection plays a crucial role in modern autonomous driving systems. LiDAR data often exhibit severe changes in properties across different observation ranges. In this paper, we explore cross-range adaptation for 3D object detection u ... Full text Cite

Salgaze: Personalizing gaze estimation using visual saliency

Journal Article Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 · October 1, 2019 Traditional gaze estimation methods typically require explicit user calibration to achieve high accuracy. This process is cumbersome and recalibration is often required when there are changes in factors such as illumination and pose. To address this challe ... Full text Cite

Multifaceted Changes in Synaptic Composition and Astrocytic Involvement in a Mouse Model of Fragile X Syndrome.

Journal Article Scientific reports · September 2019 Fragile X Syndrome (FXS), a common inheritable form of intellectual disability, is known to alter neocortical circuits. However, its impact on the diverse synapse types comprising these circuits, or on the involvement of astrocytes, is not well known. We u ... Full text Cite

Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video

Conference Proceedings - International Conference on Image Processing, ICIP · September 1, 2019 Extracting the instantaneous heart rate (iHR) from face videos has been well studied in recent years. It is well known that changes in skin color due to blood flow can be captured using conventional cameras. One of the main limitations of methods that rely ... Full text Cite

Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope.

Journal Article IEEE Trans Biomed Eng · August 2019 GOAL: In this paper, we propose methods for (1) automatic feature extraction and classification for acetic acid and Lugol's iodine cervigrams and (2) methods for combining features/diagnosis of different contrasts in cervigrams for improved performance. ME ... Full text Link to item Cite

Computer vision analysis captures atypical attention in toddlers with autism.

Journal Article Autism · April 2019 To demonstrate the capability of computer vision analysis to detect atypical orienting and attention behaviors in toddlers with autism spectrum disorder. One hundered and four toddlers of 16-31 months old (mean = 22) participated in this study. Twenty-two ... Full text Link to item Cite

Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery.

Journal Article Neurosurgery · March 2019 BackgroundDeep brain stimulation (DBS) of the subthalamic nucleus (STN) is a proven and effective therapy for the management of the motor symptoms of Parkinson's disease (PD). While accurate positioning of the stimulating electrode is critical for ... Full text Cite

Computer vision and behavioral phenotyping: an autism case study.

Journal Article Curr Opin Biomed Eng · March 2019 Despite significant recent advances in molecular genetics and neuroscience, behavioral ratings based on clinical observations are still the gold standard for screening, diagnosing, and assessing outcomes in neurodevelopmental disorders, including autism sp ... Full text Link to item Cite

Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation.

Journal Article Human brain mapping · February 2019 Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has shown clinical potential for relieving the motor symptoms of advanced Parkinson's disease. While accurate localization of the STN is critical for consistent across-patients effective DBS, cl ... Full text Cite

RoTDCF: Decomposition of convolutional filters for rotation-equivariant deep networks

Journal Article 7th International Conference on Learning Representations, ICLR 2019 · January 1, 2019 © 7th International Conference on Learning Representations, ICLR 2019. All Rights Reserved. Explicit encoding of group actions in deep features makes it possible for convolutional neural networks (CNNs) to handle global deformations of images, which is cri ... Open Access Cite

Multiscale fluctuation-based dispersion entropy and its applications to neurological diseases

Journal Article IEEE Access · January 1, 2019 Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the dynamical variability of the fluctuations of signals. It is based on Shannon entropy and fluctuation-based dispersion patterns. To quantify the physiological dynamics over mul ... Full text Cite

Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation.

Journal Article Frontiers in neuroscience · January 2019 The use of Artificial Intelligence and machine learning in basic research and clinical neuroscience is increasing. AI methods enable the interpretation of large multimodal datasets that can provide unbiased insights into the fundamental principles of brain ... Full text Cite

Adversarially learned representations for information obfuscation and inference

Conference 36th International Conference on Machine Learning, ICML 2019 · January 1, 2019 Data collection and sharing are pervasive aspects of modern society. This process can either be voluntary, as in the case of a person taking a facial image to unlock his/her phone, or incidental, such as traffic cameras collecting videos on pedestrians. An ... Cite

LDMNet: Low Dimensional Manifold Regularized Neural Networks

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · December 14, 2018 Deep neural networks have proved very successful on archetypal tasks for which large training sets are available, but when the training data are scarce, their performance suffers from overfitting. Many existing methods of reducing overfitting are data-inde ... Full text Cite

OLE: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · December 14, 2018 Deep neural networks trained using a softmax layer at the top and the cross-entropy loss are ubiquitous tools for image classification. Yet, this does not naturally enforce intra-class similarity nor inter-class margin of the learned deep representations. ... Full text Cite

Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder.

Journal Article Sci Rep · November 19, 2018 Evidence suggests that differences in motor function are an early feature of autism spectrum disorder (ASD). One aspect of motor ability that develops during childhood is postural control, reflected in the ability to maintain a steady head and body positio ... Full text Link to item Cite

A Practical Guide to Multi-Image Alignment

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · September 10, 2018 Multi-image alignment, bringing a group of images into common register, is an ubiquitous problem and the first step of many applications in a wide variety of domains. As a result, a great amount of effort is being invested in developing efficient multi-ima ... Full text Cite

Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform

Conference ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · September 10, 2018 Diagnosis of melanoma is fraught with uncertainty, and discordance rates among physicians remain high because of the lack of a definitive criterion. Motivated by this challenge, this paper first introduces the Patch Weyl transform (PWT), a 2-dimensional va ... Full text Cite

The Learned Inexact Project Gradient Descent Algorithm

Conference ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · September 10, 2018 Accelerating iterative algorithms for solving inverse problems using neural networks have become a very popular strategy in the recent years. In this work, we propose a theoretical analysis that may provide an explanation for its success. Our theory relies ... Full text Cite

Atomic Resolution Cryo-EM Structure of β-Galactosidase.

Journal Article Structure (London, England : 1993) · June 2018 The advent of direct electron detectors has enabled the routine use of single-particle cryo-electron microscopy (EM) approaches to determine structures of a variety of protein complexes at near-atomic resolution. Here, we report the development of methods ... Full text Cite

Tradeoffs between convergence speed and reconstruction accuracy in inverse problems

Journal Article IEEE Transactions on Signal Processing · April 1, 2018 Solving inverse problems with iterative algorithms is popular, especially for large data. Due to time constraints, the number of possible iterations is usually limited, potentially affecting the achievable accuracy. Given an error one is willing to tolerat ... Full text Cite

A Shared Vision for Machine Learning in Neuroscience.

Journal Article J Neurosci · February 14, 2018 With ever-increasing advancements in technology, neuroscientists are able to collect data in greater volumes and with finer resolution. The bottleneck in understanding how the brain works is consequently shifting away from the amount and type of data we ca ... Full text Link to item Cite

Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning.

Journal Article NeuroImage · February 2018 We present a sparse Bayesian unmixing algorithm BusineX: Bayesian Unmixing for Sparse Inference-based Estimation of Fiber Crossings (X), for estimation of white matter fiber parameters from compressed (under-sampled) diffusion MRI (dMRI) data. BusineX comb ... Full text Cite

ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks

Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2018 In this paper, we introduce a random forest semantic hashing scheme that embeds tiny convolutional neural networks (CNN) into shallow random forests. A binary hash code for a data point is obtained by a set of decision trees, setting ‘1’ for the visited tr ... Full text Cite

DCFNet: Deep Neural Network with Decomposed Convolutional Filters

Journal Article 35th International Conference on Machine Learning, ICML 2018 · January 1, 2018 Filters in a Convolutional Neural Network (CNN) contain model parameters learned from enormous amounts of data. In this paper, we suggest to decompose convolutional filters in CNN as a truncated expansion with pre-fixed bases, namely the Decomposed Convolu ... Open Access Cite

Motivational valence alters memory formation without altering exploration of a real-life spatial environment.

Journal Article PLoS One · 2018 Volitional exploration and learning are key to adaptive behavior, yet their characterization remains a complex problem for cognitive science. Exploration has been posited as a mechanism by which motivation promotes memory, but this relationship is not well ... Full text Link to item Cite

Active learning of cortical connectivity from two-photon imaging data.

Journal Article PloS one · January 2018 Understanding how groups of neurons interact within a network is a fundamental question in system neuroscience. Instead of passively observing the ongoing activity of a network, we can typically perturb its activity, either by external sensory stimulation ... Full text Cite

Image processing and machine learning techniques to automate diagnosis of Lugol's iodine cervigrams for a low-cost point-of-care digital colposcope

Conference Progress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2018 The world health organization recommends visual inspection with acetic acid (VIA) and/or Lugol's Iodine (VILI) for cervical cancer screening in low-resource settings. Human interpretation of diagnostic indicators for visual inspection is qualitative, subje ... Full text Cite

A Computational Synaptic Antibody Characterization Tool for Array Tomography.

Journal Article Frontiers in neuroanatomy · January 2018 Application-specific validation of antibodies is a critical prerequisite for their successful use. Here we introduce an automated framework for characterization and screening of antibodies against synaptic molecules for high-resolution immunofluorescence a ... Full text Cite

Patient-specific anatomical model for deep brain stimulation based on 7 Tesla MRI.

Journal Article PloS one · January 2018 ObjectiveDeep brain stimulation (DBS) requires accurate localization of the anatomical target structure, and the precise placement of the DBS electrode within it. Ultra-high field 7 Tesla (T) MR images can be utilized to create patient-specific an ... Full text Cite

Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study.

Journal Article NPJ Digit Med · 2018 Current tools for objectively measuring young children's observed behaviors are expensive, time-consuming, and require extensive training and professional administration. The lack of scalable, reliable, and validated tools impacts access to evidence-based ... Full text Open Access Link to item Cite

Not afraid of the dark: NIR-VIS face recognition via cross-spectral hallucination and low-rank embedding

Journal Article Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 · November 6, 2017 Surveillance cameras today often capture NIR (near infrared) images in low-light environments. However, most face datasets accessible for training and verification are only collected in the VIS (visible light) spectrum. It remains a challenging problem to ... Full text Cite

Self-learning scene-specific pedestrian detectors using a progressive latent model

Journal Article Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 · November 6, 2017 In this paper, a self-learning approach is proposed towards solving scene-specific pedestrian detection problem without any human' annotation involved. The self-learning approach is deployed as progressive steps of object discovery, object enforcement, and ... Full text Cite

Deep video deblurring for hand-held cameras

Conference Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 · November 6, 2017 Motion blur from camera shake is a major problem in videos captured by hand-held devices. Unlike single-image deblurring, video-based approaches can take advantage of the abundant information that exists across neighboring frames. As a result the best perf ... Full text Cite

Nonnegative matrix underapproximation for robust multiple model fitting

Conference Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 · November 6, 2017 In this work, we introduce a highly efficient algorithm to address the nonnegative matrix underapproximation (NMU) problem, i.e., nonnegative matrix factorization (NMF) with an additional underapproximation constraint. NMU results are interesting as, compa ... Full text Cite

A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI.

Conference Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · September 2017 We propose a sparse Bayesian learning algorithm for improved estimation of white matter fiber parameters from compressed (under-sampled q-space) multi-shell diffusion MRI data. The multi-shell data is represented in a dictionary form using a non-monoexpone ... Full text Cite

Generalization error of deep neural networks: Role of classification margin and data structure

Conference 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017 · September 1, 2017 Understanding the generalization properties of deep learning models is critical for their successful usage in many applications, especially in the regimes where the number of training samples is limited. We study the generalization properties of deep neura ... Full text Cite

Robust Large Margin Deep Neural Networks

Journal Article IEEE Transactions on Signal Processing · August 15, 2017 The generalization error of deep neural networks via their classification margin is studied in this paper. Our approach is based on the Jacobian matrix of a deep neural network and can be applied to networks with arbitrary nonlinearities and pooling layers ... Full text Cite

Intelligent synthesis driven model calibration: framework and face recognition application

Conference Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 · July 1, 2017 Deep Neural Networks (DNNs) that achieve state-of-the-art results are still prone to suffer performance degradation when deployed in many real-world scenarios due to shifts between the training and deployment domains. Limited data from a given setting can ... Full text Cite

Learning to identify while failing to discriminate

Conference Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 · July 1, 2017 Privacy and fairness are critical in computer vision applications, in particular when dealing with human identification. Achieving a universally secure, private, and fair systems is practically impossible as the exploitation of additional data can reveal p ... Full text Cite

Use of a Digital Modified Checklist for Autism in Toddlers - Revised with Follow-up to Improve Quality of Screening for Autism.

Journal Article J Pediatr · April 2017 OBJECTIVES: To assess changes in quality of care for children at risk for autism spectrum disorders (ASD) due to process improvement and implementation of a digital screening form. STUDY DESIGN: The process of screening for ASD was studied in an academic p ... Full text Link to item Cite

Probabilistic fluorescence-based synapse detection.

Journal Article PLoS computational biology · April 2017 Deeper exploration of the brain's vast synaptic networks will require new tools for high-throughput structural and molecular profiling of the diverse populations of synapses that compose those networks. Fluorescence microscopy (FM) and electron microscopy ... Full text Cite

RealSense = real heart rate: Illumination invariant heart rate estimation from videos

Conference 2016 6th International Conference on Image Processing Theory, Tools and Applications, IPTA 2016 · January 17, 2017 Recent studies validated the feasibility of estimating heart rate from human faces in RGB video. However, test subjects are often recorded under controlled conditions, as illumination variations significantly affect the RGB-based heart rate estimation accu ... Full text Cite

Creating and parameterizing patient-specific deep brain stimulation pathway-activation models using the hyperdirect pathway as an example.

Journal Article PloS one · January 2017 BackgroundDeep brain stimulation (DBS) is an established clinical therapy and computational models have played an important role in advancing the technology. Patient-specific DBS models are now common tools in both academic and industrial research ... Full text Open Access Cite

Generalization error of invariant classifiers

Conference Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017 · January 1, 2017 Copyright 2017 by the author(s). This paper studies the generalization error of invariant classifiers. In particular, we consider the common scenario where the classification task is invariant to certain transformations of the input, and that the classifie ... Cite

Generalization error of invariant classifiers

Conference Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017 · January 1, 2017 This paper studies the generalization error of invariant classifiers. In particular, we consider the common scenario where the classification task is invariant to certain transformations of the input, and that the classifier is constructed (or learned) to ... Cite

Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes.

Journal Article Biomed Opt Express · December 1, 2016 Patient motion artifacts are often visible in densely sampled or large wide field-of-view (FOV) retinal optical coherence tomography (OCT) volumes. A popular strategy for reducing motion artifacts is to capture two orthogonally oriented volumetric scans. H ... Full text Link to item Cite

Dissimilarity-Based Sparse Subset Selection.

Journal Article IEEE transactions on pattern analysis and machine intelligence · November 2016 Finding an informative subset of a large collection of data points or models is at the center of many problems in computer vision, recommender systems, bio/health informatics as well as image and natural language processing. Given pairwise dissimilarities ... Full text Cite

Fundamental limits in multi-image alignment

Journal Article IEEE Transactions on Signal Processing · November 1, 2016 The performance of multiimage alignment, bringing different images into one coordinate system, is critical in many applications with varied signal-to-noise ratio (SNR) conditions. A great amount of effort is being invested into developing methods to solve ... Full text Cite

Tell me where you are and i tell you where you are going: Estimation of dynamic mobility graphs

Conference Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop · September 15, 2016 The interest in problems related to graph inference has been increasing significantly during the last decade. However, the vast majority of the problems addressed are either static, or systems where changes in one node are immediately reflected in other no ... Full text Cite

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

Journal Article IEEE Transactions on Signal Processing · July 1, 2016 Three important properties of a classification machinery are i) the system preserves the core information of the input data; ii) the training examples convey information about unseen data; and iii) the system is able to treat differently points from differ ... Full text Cite

A short-graph fourier transform via personalized pagerank vectors

Conference ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · May 18, 2016 The short-time Fourier transform (STFT) is widely used to analyze the spectra of temporal signals that vary through time. Signals defined over graphs, due to their intrinsic complexity, exhibit large variations in their patterns. In this work we propose a ... Full text Cite

Compressed Nonnegative Matrix Factorization Is Fast and Accurate

Journal Article IEEE Transactions on Signal Processing · May 1, 2016 Nonnegative matrix factorization (NMF) has an established reputation as a useful data analysis technique in numerous applications. However, its usage in practical situations is undergoing challenges in recent years. The fundamental factor to this is the in ... Full text Cite

Data Representation Using the Weyl Transform

Journal Article IEEE Transactions on Signal Processing · April 1, 2016 The Weyl transform is introduced as a rich framework for data representation. Transform coefficients are connected to the Walsh-Hadamard transform of multiscale autocorrelations, and different forms of dyadic periodicity in a signal are shown to appear as ... Full text Cite

Graph Matching: Relax at Your Own Risk.

Journal Article IEEE transactions on pattern analysis and machine intelligence · January 2016 Graph matching-aligning a pair of graphs to minimize their edge disagreements-has received wide-spread attention from both theoretical and applied communities over the past several decades, including combinatorics, computer vision, and connectomics. Its at ... Full text Cite

Synthesis-based low-cost gaze analysis

Conference Communications in Computer and Information Science · January 1, 2016 Gaze analysis has gained much popularity over the years due to its relevance in a wide array of applications, including humancomputer interaction, fatigue detection, and clinical mental health diagnosis. However, accurate gaze estimation from low resolutio ... Full text Cite

Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach.

Journal Article PLoS One · 2016 Early childhood anxiety disorders are common, impairing, and predictive of anxiety and mood disorders later in childhood. Epidemiological studies over the last decade find that the prevalence of impairing anxiety disorders in preschool children ranges from ... Full text Link to item Cite

Sparse models for intrinsic shape correspondence

Chapter · January 1, 2016 We present a novel sparse modeling approach to non-rigid shape matching using only the ability to detect repeatable regions. As the input to our algorithm, we are given only two sets of regions in two shapes; no descriptors are provided so the corresponden ... Full text Cite

Clinical deep brain stimulation region prediction using regression forests from high-field MRI

Conference Proceedings - International Conference on Image Processing, ICIP · December 9, 2015 This paper presents a prediction framework of brain subcortical structures which are invisible on clinical low-field MRI, learning detailed information from ultrahigh-field MR training data. Volumetric segmentation of Deep Brain Stimulation (DBS) structure ... Full text Cite

Multi-temporal foreground detection in videos

Conference Proceedings - International Conference on Image Processing, ICIP · December 9, 2015 A common task in video processing is the binary separation of a video's content into either background or moving foreground. However, many situations require a foreground analysis with a finer temporal granularity, in particular for objects or people which ... Full text Cite

Cross-modality pose-invariant facial expression

Conference Proceedings - International Conference on Image Processing, ICIP · December 9, 2015 In this work, we present a dictionary learning based framework for robust, cross-modality, and pose-invariant facial expression recognition. The proposed framework first learns a dictionary that i) contains both 3D shape and morphological information as we ... Full text Cite

Hand-Held Video Deblurring Via Efficient Fourier Aggregation

Journal Article IEEE Transactions on Computational Imaging · December 1, 2015 Videos captured with hand-held cameras often suffer from a significant amount of blur, mainly caused by the inevitable natural tremor of the photographer's hand. In this work, we present an algorithm that removes blur due to camera shake by combining infor ... Full text Cite

Removing Camera Shake via Weighted Fourier Burst Accumulation.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · November 2015 Numerous recent approaches attempt to remove image blur due to camera shake, either with one or multiple input images, by explicitly solving an inverse and inherently ill-posed deconvolution problem. If the photographer takes a burst of images, a modality ... Full text Cite

Burst deblurring: Removing camera shake through fourier burst accumulation

Conference Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · October 14, 2015 Numerous recent approaches attempt to remove image blur due to camera shake, either with one or multiple input images, by explicitly solving an inverse and inherently ill-posed deconvolution problem. If the photographer takes a burst of images, a modality ... Full text Cite

Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI.

Chapter · October 2015 The RubiX [1] algorithm combines high SNR characteristics of low resolution data with high spacial specificity of high resolution data, to extract microstructural tissue parameters from diffusion MRI. In this paper we focus on estimating crossing fiber ori ... Full text Cite

Learning Efficient Sparse and Low Rank Models.

Journal Article IEEE transactions on pattern analysis and machine intelligence · September 2015 Parsimony, including sparsity and low rank, has been shown to successfully model data in numerous machine learning and signal processing tasks. Traditionally, such modeling approaches rely on an iterative algorithm that minimizes an objective function with ... Full text Cite

Alignment with intra-class structure can improve classification

Conference ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · August 4, 2015 High dimensional data is modeled using low-rank subspaces, and the probability of misclassification is expressed in terms of the principal angles between subspaces. The form taken by this expression motivates the design of a new feature extraction method t ... Full text Cite

Clinical subthalamic nucleus prediction from high-field brain MRI

Conference Proceedings - International Symposium on Biomedical Imaging · July 21, 2015 The subthalamic nucleus (STN) within the sub-cortical region of the Basal ganglia is a crucial targeting structure for Parkinson's Deep brain stimulation (DBS) surgery. Volumetric segmentation of such small and complex structure, which is elusive in clinic ... Full text Cite

Cancer: What's luck got to do with it?

Journal Article Significance · April 1, 2015 Recent press reports would have you believe that cancer develops randomly, and healthy living makes little difference. But that is a gross misinterpretation of a recent scientific paper, as Joseph E. Lucas and Guillermo Sapiro explain. ... Full text Cite

On spectral properties for graph matching and graph isomorphism problems

Journal Article Information and Inference · March 1, 2015 Problems related to graph matching and isomorphisms are very important both from a theoretical and practical perspective, with applications ranging from image and video analysis to biological and biomedical problems. The graph matching problem is challengi ... Full text Cite

Geometry-aware deep transform

Conference Proceedings of the IEEE International Conference on Computer Vision · February 17, 2015 Many recent efforts have been devoted to designing sophisticated deep learning structures, obtaining revolutionary results on benchmark datasets. The success of these deep learning methods mostly relies on an enormous volume of labeled training samples to ... Full text Cite

Learning transformations for clustering and classification

Journal Article Journal of Machine Learning Research · February 1, 2015 A low-rank transformation learning framework for subspace clustering and classification is proposed here. Many high-dimensional data, such as face images and motion sequences, approximately lie in a union of low-dimensional subspaces. The corresponding sub ... Cite

Compressive sensing by learning a Gaussian mixture model from measurements.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2015 Compressive sensing of signals drawn from a Gaussian mixture model (GMM) admits closed-form minimum mean squared error reconstruction from incomplete linear measurements. An accurate GMM signal model is usually not available a priori, because it is difficu ... Full text Cite

Robust prediction of clinical deep brain stimulation target structures via the estimation of influential high-field MR atlases

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2015 This work introduces a robust framework for predicting Deep Brain Stimulation (DBS) target structures which are not identifiable on standard clinical MRI. While recent high-field MR imaging allows clear visualization of DBS target structures, such high-fie ... Full text Cite

Intel realsense= real low cost gaze

Conference Image Processing (ICIP), 2015 IEEE International Conference on · 2015 Cite

Discriminative robust transformation learning

Conference Advances in Neural Information Processing Systems · January 1, 2015 This paper proposes a framework for learning features that are robust to data variation, which is particularly important when only a limited number of training samples are available. The framework makes it possible to tradeoff the discriminative value of l ... Cite

Random forests can hash

Journal Article 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings · January 1, 2015 © 2015 International Conference on Learning Representations, ICLR. All rights reserved. Hash codes are a very efficient data representation needed to be able to cope with the ever growing amounts of data. We introduce a random forest semantic hashing schem ... Cite

From local to global communities in large networks through consensus

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2015 Given a universe of local communities of a large network, we aim at identifying the meaningful and consistent communities in it. We address this from a new perspective as the process of obtaining consensual community detections and formalize it as a bi-clu ... Full text Cite

Low-cost Gaze and Pulse Analysis using RealSense

Conference Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare · 2015 Cite

Temporal compressive sensing for video

Conference · January 1, 2015 Video camera architects must design cameras capable of high-quality, dynamic event capture, while adhering to power and communications constraints. Though modern imagers are capable of both simultaneous spatial and temporal resolutions at micrometer and mi ... Full text Cite

A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study

Journal Article Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare · 2015 Link to item Cite

Supervised non-negative matrix factorization for audio source separation

Chapter · January 1, 2015 Source separation is a widely studied problem in signal processing. Despite the permanent progress reported in the literature it is still considered a significant challenge. This chapter first reviews the use of non-negative matrix factorization (NMF) algo ... Full text Cite

Data representation using the Weyl transform

Conference 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings · January 1, 2015 © 2015 International Conference on Learning Representations, ICLR. All rights reserved. The Weyl transform is introduced as a rich framework for data representation. Transform coefficients are connected to the Walsh-Hadamard transform of multiscale autocor ... Cite

On the stability of deep networks

Conference 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings · January 1, 2015 © 2015 International Conference on Learning Representations, ICLR. All rights reserved. In this work we study the properties of deep neural networks (DNN) with random weights. We formally prove that these networks perform a distance-preserving embedding of ... Cite

Data representation using the Weyl transform

Conference 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings · January 1, 2015 The Weyl transform is introduced as a rich framework for data representation. Transform coefficients are connected to the Walsh-Hadamard transform of multiscale autocorrelations, and different forms of dyadic periodicity in a signal are shown to appear as ... Cite

Random forests can hash

Conference 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings · January 1, 2015 Hash codes are a very efficient data representation needed to be able to cope with the ever growing amounts of data. We introduce a random forest semantic hashing scheme with information-theoretic code aggregation, showing for the first time how random for ... Cite

On the stability of deep networks

Conference 3rd International Conference on Learning Representations, ICLR 2015 - Workshop Track Proceedings · January 1, 2015 In this work we study the properties of deep neural networks (DNN) with random weights. We formally prove that these networks perform a distance-preserving embedding of the data. Based on this we then draw conclusions on the size of the training data and t ... Cite

A biclustering framework for consensus problems

Journal Article SIAM Journal on Imaging Sciences · November 25, 2014 We consider grouping as a general characterization for problems such as clustering, community detection in networks, and multiple parametric model estimation. We are interested in merging solutions from different grouping algorithms, distilling all their g ... Full text Cite

Estimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI.

Journal Article Magnetic resonance in medicine · November 2014 PurposeDiffusion MRI provides important information about the brain white matter structures and has opened new avenues for neuroscience and translational research. However, acquisition time needed for advanced applications can still be a challenge ... Full text Cite

Video compressive sensing using Gaussian mixture models.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · November 2014 A Gaussian mixture model (GMM)-based algorithm is proposed for video reconstruction from temporally compressed video measurements. The GMM is used to model spatio-temporal video patches, and the reconstruction can be efficiently computed based on analytic ... Full text Cite

Low-cost compressive sensing for color video and depth

Conference Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · September 24, 2014 A simple and inexpensive (low-power and low-bandwidth) modification is made to a conventional off-the-shelf color video camera, from which we recover multiple color frames for each of the original measured frames, and each of the recovered frames can be fo ... Full text Cite

Semiautomatic segmentation of brain subcortical structures from high-field MRI.

Journal Article IEEE journal of biomedical and health informatics · September 2014 Volumetric segmentation of subcortical structures, such as the basal ganglia and thalamus, is necessary for noninvasive diagnosis and neurosurgery planning. This is a challenging problem due in part to limited boundary information between structures, simil ... Full text Cite

Automatic clustering and population analysis of white matter tracts using maximum density paths.

Journal Article NeuroImage · August 2014 We introduce a framework for population analysis of white matter tracts based on diffusion-weighted images of the brain. The framework enables extraction of fibers from high angular resolution diffusion images (HARDI); clustering of the fibers based partly ... Full text Cite

A tetraploid intermediate precedes aneuploid formation in yeasts exposed to fluconazole.

Journal Article PLoS biology · March 2014 Candida albicans, the most prevalent human fungal pathogen, is generally diploid. However, 50% of isolates that are resistant to fluconazole (FLC), the most widely used antifungal, are aneuploid and some aneuploidies can confer FLC resistance. To ask if FL ... Full text Cite

Learning compressed image classification features

Conference 2014 IEEE International Conference on Image Processing, ICIP 2014 · January 28, 2014 Learning a transformation-based dimension reduction, thereby compressive, technique for classification is here proposed. High-dimensional data often approximately lie in a union of low-dimensional subspaces. We propose to perform dimension reduction by lea ... Full text Cite

Learning Transformations

Conference 2014 IEEE International Conference on Image Processing, ICIP 2014 · January 28, 2014 A low-rank transformation learning framework for subspace clustering and classification is here proposed. Many high-dimensional data, such as face images and motion sequences, approximately lie in a union of low-dimensional subspaces. The corresponding sub ... Full text Cite

Intersecting 2D lines: A simple method for detecting vanishing points

Conference 2014 IEEE International Conference on Image Processing, ICIP 2014 · January 28, 2014 We present a simple and powerful technique for testing with a prescribed precision whether a set of 2D lines meet at a given point. The method is based on a probabilistic framework and has a fundamental geometric interpretation. We use this technique for d ... Full text Cite

Computer vision tools for low-cost and noninvasive measurement of autism-related behaviors in infants.

Journal Article Autism Res Treat · 2014 The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated which promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests that behavioral signs can be observed late i ... Full text Open Access Link to item Cite

Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement

Journal Article 2014 4th Joint Workshop on Hands-Free Speech Communication and Microphone Arrays, HSCMA 2014 · January 1, 2014 Traditionally, NMF algorithms consist of two separate stages: a training stage, in which a generative model is learned; and a testing stage in which the pre-learned model is used in a high level task such as enhancement, separation, or classification. As a ... Full text Cite

Questionnaire simplification for fast risk analysis of children's mental health

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · January 1, 2014 Early detection and treatment of psychiatric disorders on children has shown significant impact in their subsequent development and quality of life. The assessment of psychopathology in childhood is commonly carried out by performing long comprehensive int ... Full text Cite

All for one, one for all: Consensus community detection in networks

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · January 1, 2014 Given an universe of distinct, low-level communities of a network, we aim at identifying the 'meaningful' and consistent communities in this universe. We address this as the process of obtaining consensual community detections and formalize it as a bi-clus ... Full text Cite

Learning transformations for classification forests

Journal Article 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings · January 1, 2014 © 2014 International Conference on Learning Representations, ICLR. All rights reserved. This work introduces a transformation-based learner model for classification forests. The weak learner at each split node plays a crucial role in a classification tree. ... Cite

Rich club analysis of structural brain connectivity at 7 tesla versus 3 tesla

Conference Mathematics and Visualization · January 1, 2014 The ‘rich club’ is a relatively new concept in brain connectivity analysis, which identifies a core of densely interconnected high-degree nodes. Establishing normative measures for rich club organization is vital, as is understanding how scanning parameter ... Full text Cite

Sparse similarity-preserving hashing

Conference 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings · January 1, 2014 © 2014 International Conference on Learning Representations, ICLR. All rights reserved. In recent years, a lot of attention has been devoted to efficient nearest neighbor search by means of similarity-preserving hashing. One of the plights of existing hash ... Cite

The work of Stanley Osher

Conference Proceeding of the International Congress of Mathematicans, ICM 2014 · January 1, 2014 In this paper we briefly present some of Stanley Osher's contributions in the areas of high resolution shock capturing methods, level set methods, partial differential equation (PDE) based methods in computer vision and image processing, and optimization. ... Cite

Sparse similarity-preserving hashing

Conference 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings · January 1, 2014 In recent years, a lot of attention has been devoted to efficient nearest neighbor search by means of similarity-preserving hashing. One of the plights of existing hashing techniques is the intrinsic trade-off between performance and computational complexi ... Cite

Learning transformations for classification forests

Conference 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings · January 1, 2014 This work introduces a transformation-based learner model for classification forests. The weak learner at each split node plays a crucial role in a classification tree. We propose to optimize the splitting objective by learning a linear transformation on s ... Cite

A complete system for candidate polyps detection in virtual colonoscopy

Journal Article International Journal of Pattern Recognition and Artificial Intelligence · January 1, 2014 We present a computer-aided detection pipeline for polyp detection in Computer tomographic colonography. The first stage of the pipeline consists of a simple colon segmentation technique that enhances polyps, which is followed by an adaptive-scale candidat ... Full text Cite

Polyps flagging in virtual colonoscopy

Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · December 1, 2013 Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp detection, starting with a simple colon segmentation technique that enhances p ... Full text Cite

Locating occupants in preschool classrooms using a multiple RGB-D sensor system

Journal Article IEEE International Conference on Intelligent Robots and Systems · December 1, 2013 Presented are results demonstrating that, in developing a system with its first objective being the sustained detection of adults and young children as they move and interact in a normal preschool setting, the direct application of the straightforward RGB- ... Full text Cite

Ants crawling to discover the community structure in networks

Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · December 1, 2013 We cast the problem of discovering the community structure in networks as the composition of community candidates, obtained from several community detection base algorithms, into a coherent structure. In turn, this composition can be cast into a maximum-we ... Full text Cite

Audio restoration from multiple copies

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · October 18, 2013 A method for removing impulse noise from audio signals by fusing multiple copies of the same recording is introduced in this paper. The proposed algorithm exploits the fact that while in general multiple copies of a given recording are available, all shari ... Full text Cite

Learnable low rank sparse models for speech denoising

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · October 18, 2013 In this paper we present a framework for real time enhancement of speech signals. Our method leverages a new process-centric approach for sparse and parsimonious models, where the representation pursuit is obtained applying a deterministic function or proc ... Full text Cite

Importance sampling spherical harmonics to improve probabilistic tractography

Journal Article Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013 · October 15, 2013 We consider the problem of improving the accuracy and reliability of probabilistic white matter tractography methods by improving the built-in sampling scheme, which randomly draws, from a diffusion model such as the orientation distribution function (ODF) ... Full text Cite

Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

Journal Article NeuroImage · October 2013 The Human Connectome Project (HCP) is a collaborative 5-year effort to map human brain connections and their variability in healthy adults. A consortium of HCP investigators will study a population of 1200 healthy adults using multiple imaging modalities, ... Full text Cite

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Journal Article NeuroImage · October 2013 The Human Connectome Project (HCP) relies primarily on three complementary magnetic resonance (MR) methods. These are: 1) resting state functional MR imaging (rfMRI) which uses correlations in the temporal fluctuations in an fMRI time series to deduce 'fun ... Full text Cite

Deep learning with hierarchical convolutional factor analysis.

Journal Article IEEE transactions on pattern analysis and machine intelligence · August 2013 Unsupervised multilayered (“deep”) models are considered for imagery. The model is represented using a hierarchical convolutional factor-analysis construction, with sparse factor loadings and scores. The computation of layer-dependent model p ... Full text Cite

Learning Robust Subspace Clustering

Journal Article · August 1, 2013 We propose a low-rank transformation-learning framework to robustify subspace clustering. Many high-dimensional data, such as face images and motion sequences, lie in a union of low-dimensional subspaces. The subspace clustering problem has been extensivel ... Link to item Cite

Domain-invariant Face Recognition using Learned Low-rank Transformation

Journal Article · August 1, 2013 We present a low-rank transformation approach to compensate for face variations due to changes in visual domains, such as pose and illumination. The key idea is to learn discriminative linear transformations for face images using matrix rank as the optimiz ... Link to item Cite

Design of multishell sampling schemes with uniform coverage in diffusion MRI.

Journal Article Magnetic resonance in medicine · June 2013 PurposeIn diffusion MRI, a technique known as diffusion spectrum imaging reconstructs the propagator with a discrete Fourier transform, from a Cartesian sampling of the diffusion signal. Alternatively, it is possible to directly reconstruct the or ... Full text Cite

Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies

Journal Article · May 29, 2013 Video object segmentation is a challenging problem due to the presence of deformable, connected, and articulated objects, intra- and inter-object occlusions, object motion, and poor lighting. Some of these challenges call for object models that can locate ... Link to item Cite

Geometric computation of human gyrification indexes from magnetic resonance images.

Journal Article Human brain mapping · May 2013 Human brains are highly convoluted surfaces with multiple folds. To characterize the complexity of these folds and their relationship with neurological and psychiatric conditions, different techniques have been developed to quantify the folding patterns, a ... Full text Cite

Coded aperture compressive temporal imaging.

Journal Article Optics express · May 2013 We use mechanical translation of a coded aperture for code division multiple access compression of video. We discuss the compressed video's temporal resolution and present experimental results for reconstructions of > 10 frames of temporal data per coded s ... Full text Open Access Cite

Structure and accessibility of HA trimers on intact 2009 H1N1 pandemic influenza virus to stem region-specific neutralizing antibodies.

Journal Article Proceedings of the National Academy of Sciences of the United States of America · March 2013 Rapid antigenic variation of HA, the major virion surface protein of influenza A virus, remains the principal challenge to the development of broader and more effective vaccines. Some regions of HA, such as the stem region proximal to the viral membrane, a ... Full text Cite

A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography.

Journal Article J Struct Biol · February 2013 The limitation of using low electron doses in non-destructive cryo-electron tomography of biological specimens can be partially offset via averaging of aligned and structurally homogeneous subsets present in tomograms. This type of sub-volume averaging is ... Full text Link to item Cite

Task-driven adaptive statistical compressive sensing of gaussian mixture models

Journal Article IEEE Transactions on Signal Processing · January 21, 2013 A framework for adaptive and non-adaptive statistical compressive sensing is developed, where a statistical model replaces the standard sparsity model of classical compressive sensing. We propose within this framework optimal task-specific sensing protocol ... Full text Open Access Cite

Robust multimodal graph matching: Sparse coding meets graph matching

Journal Article Advances in Neural Information Processing Systems · January 1, 2013 Graph matching is a challenging problem with very important applications in a wide range of fields, from image and video analysis to biological and biomedical problems. We propose a robust graph matching algorithm inspired in sparsity-related techniques. W ... Cite

Gaussian mixture model for video compressive sensing

Journal Article 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings · January 1, 2013 A Gaussian Mixture Model (GMM)-based algorithm is proposed for video reconstruction from temporal compressed measurements. The GMM is used to model spatio-temporal video patches, and the reconstruction can be efficiently computed based on analytic expressi ... Full text Cite

Fast L1 smoothing splines with an application to Kinect depth data

Journal Article 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings · January 1, 2013 Splines are a popular and attractive way of smoothing noisy data. Computing splines involves minimizing a functional which is a linear combination of a fitting term and a regularization term. The former is classically computed using a (sometimes weighted) ... Full text Cite

Compressive sensing for video using a passive coding element

Journal Article Optics InfoBase Conference Papers · January 1, 2013 We present a prototype system that utilizes mechanical translation of a passive coding element to compress high-speed temporal information into low-framerate video sequences. Reconstructions of 148 frames per experimental coded snapshot are reported. © OSA ... Cite

Efficient supervised sparse analysis and synthesis operators

Journal Article Advances in Neural Information Processing Systems · January 1, 2013 In this paper, we propose a new computationally efficient framework for learning sparse models. We formulate a unified approach that contains as particular cases models promoting sparse synthesis and analysis type of priors, and mixtures thereof. The super ... Cite

A convex optimization framework for active learning

Journal Article Proceedings of the IEEE International Conference on Computer Vision · January 1, 2013 In many image/video/web classification problems, we have access to a large number of unlabeled samples. However, it is typically expensive and time consuming to obtain labels for the samples. Active learning is the problem of progressively selecting and an ... Full text Cite

Reflective Symmetry Detection by Rectifying Randomized Correspondences

Conference Procedings of the British Machine Vision Conference 2013 · 2013 Full text Cite

Bilevel sparse models for polyphonic music transcription

Conference Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013 · January 1, 2013 In this work, we propose a trainable sparse model for automatic polyphonic music transcription, which incorporates several successful approaches into a unified optimization framework. Our model combines unsupervised synthesis models similar to latent compo ... Cite

Compressive sensing for video using a passive coding element

Conference Optics InfoBase Conference Papers · January 1, 2013 We present a prototype system that utilizes mechanical translation of a passive coding element to compress high-speed temporal information into low-framerate video sequences. Reconstructions of 148 frames per experimental coded snapshot are reported. © OSA ... Full text Cite

Deep Learning with Hierarchical Convolutional Factor Analysis.

Journal Article IEEE transactions on pattern analysis and machine intelligence · January 2013 Unsupervised multi-layered ("deep") models are considered for general data, with a particular focus on imagery. The model is represented using a hierarchical convolutional factor-analysis construction, with sparse factor loadings and scores. The computatio ... Cite

Magnetic resonance field strength effects on diffusion measures and brain connectivity networks.

Journal Article Brain connectivity · January 2013 The quest to map brain connectivity is being pursued worldwide using diffusion imaging, among other techniques. Even so, we know little about how brain connectivity measures depend on the magnetic field strength of the scanner. To investigate this, we scan ... Full text Cite

Sparse modeling of intrinsic correspondences

Journal Article Computer Graphics Forum · January 1, 2013 We present a novel sparse modeling approach to non-rigid shape matching using only the ability to detect repeatable regions. As the input to our algorithm, we are given only two sets of regions in two shapes; no descriptors are provided so the corresponden ... Full text Cite

Motion Detection in Diffusion MRI via Online ODF Estimation.

Journal Article International journal of biomedical imaging · January 2013 The acquisition of high angular resolution diffusion MRI is particularly long and subject motion can become an issue. The orientation distribution function (ODF) can be reconstructed online incrementally from diffusion-weighted MRI with a Kalman filtering ... Full text Cite

Adaptive temporal compressive sensing for video

Journal Article 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings · January 1, 2013 This paper introduces the concept of adaptive temporal compressive sensing (CS) for video. We propose a CS algorithm to adapt the compression ratio based on the scene's temporal complexity, computed from the compressed data, without compromising the qualit ... Full text Open Access Cite

A Framework for Linear and Non-Linear Registration of Diffusion-Weighted MRIs Using Angular Interpolation.

Journal Article Frontiers in neuroscience · January 2013 Registration of diffusion-weighted magnetic resonance images (DW-MRIs) is a key step for population studies, or construction of brain atlases, among other important tasks. Given the high dimensionality of the data, registration is usually performed by rely ... Full text Cite

If you are happy and you know it... tweet

Journal Article ACM International Conference Proceeding Series · December 19, 2012 Extracting sentiment from Twitter data is one of the fundamental problems in social media analytics. Twitter's length constraint renders determining the positive/negative sentiment of a tweet difficult, even for a human judge. In this work we present a gen ... Full text Cite

Protein secondary structure determination by constrained single-particle cryo-electron tomography.

Journal Article Structure (London, England : 1993) · December 2012 Cryo-electron microscopy (cryo-EM) is a powerful technique for 3D structure determination of protein complexes by averaging information from individual molecular images. The resolutions that can be achieved with single-particle cryo-EM are frequently limit ... Full text Cite

Semi-supervised single- And multi-domain regression with multi-domain training

Journal Article Information and Inference · December 1, 2012 We address the problems of multi- and single-domain regression based on distinct and unpaired labeled training sets for each of the domains and a large unlabeled training set from all domains. We formulate these problems as a Bayesian estimation with parti ... Full text Cite

Sparse modeling for hyperspectral imagery with LiDAR data fusion for subpixel mapping

Conference International Geoscience and Remote Sensing Symposium (IGARSS) · December 1, 2012 Several studies suggest that the use of geometric features along with spectral information improves the classification and visualization quality of hyperspectral imagery. These studies normally make use of spatial neighborhoods of hyperspectral pixels for ... Full text Cite

Real-time online singing voice separation from monaural recordings using robust low-rank modeling

Conference Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012 · December 1, 2012 Separating the leading vocals from the musical accompaniment is a challenging task that appears naturally in several music processing applications. Robust principal component analysis (RPCA) has been recently employed to this problem producing very success ... Cite

A computer vision approach for the assessment of autism-related behavioral markers

Conference 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, ICDL 2012 · December 1, 2012 The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests behavioral markers can be observed late in th ... Full text Cite

Detecting risk-markers in children in a preschool classroom

Conference IEEE International Conference on Intelligent Robots and Systems · December 1, 2012 Early intervention in mental disorders can dramatically increase an individual's quality of life. Additionally, when symptoms of mental illness appear in childhood or adolescence, they represent the later stages of a process that began years earlier. One g ... Full text Cite

Decoupled coarse-to-fine matching and nonlinear regularization for efficient motion estimation

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2012 A simple motion estimation algorithm, light-weighted both in memory and in time, is presented in this paper. This simplicity is achieved by decoupling the matching and the regularization stages in the estimation process. Experiments show that the obtained ... Full text Cite

Topology constraints in graphical models

Journal Article Advances in Neural Information Processing Systems · December 1, 2012 Graphical models are a very useful tool to describe and understand natural phenomena, from gene expression to climate change and social interactions. The topological structure of these graphs/networks is a fundamental part of the analysis, and in many case ... Cite

Finding exemplars from pairwise dissimilarities via simultaneous sparse recovery

Journal Article Advances in Neural Information Processing Systems · December 1, 2012 Given pairwise dissimilarities between data points, we consider the problem of finding a subset of data points, called representatives or exemplars, that can efficiently describe the data collection. We formulate the problem as a row-sparsity regularized t ... Cite

Computer vision tools for the non-invasive assessment of autism-related behavioral markers

Journal Article · October 25, 2012 The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests behavioral markers can be observed late in th ... Open Access Link to item Cite

Adapted statistical compressive sensing: Learning to sense gaussian mixture models

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · October 23, 2012 A framework for learning sensing kernels adapted to signals that follow a Gaussian mixture model (GMM) is introduced in this paper. This follows the paradigm of statistical compressive sensing (SCS), where a statistical model, a GMM in particular, replaces ... Full text Cite

Gaussian mixture models for score-informed instrument separation

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · October 23, 2012 A new framework for representing quasi-harmonic signals, and its application to score-informed single channel musical instruments separation, is introduced in this paper. In the proposed approach, the signal's pitch and spectral envelope are modeled separa ... Full text Cite

Semi-supervised multi-domain regression with distinct training sets

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · October 23, 2012 We address the problems of multi-domain and single-domain regression based on distinct labeled training sets for each of the domains and a large unlabeled training set from all domains. We formulate these problems as ones of Bayesian estimation with partia ... Full text Cite

LOw-rank data modeling via the minimum description length principle

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · October 23, 2012 Robust low-rank matrix estimation is a topic of increasing interest, with promising applications in a variety of fields, from computer vision to data mining and recommender systems. Recent theoretical results establish the ability of such data models to re ... Full text Cite

Learning efficient structured sparse models

Journal Article Proceedings of the 29th International Conference on Machine Learning, ICML 2012 · October 10, 2012 We present a comprehensive framework for structured sparse coding and modeling extending the recent ideas of using learnable fast regressors to approximate exact sparse codes. For this purpose, we propose an efficient feed forward architecture derived from ... Cite

Sparse modeling of human actions from motion imagery

Journal Article International Journal of Computer Vision · October 1, 2012 An efficient sparse modeling pipeline for the classification of human actions from video is here developed. Spatio-temporal features that characterize local changes in the image are first extracted. This is followed by the learning of a class-structured di ... Full text Cite

See all by looking at a few: Sparse modeling for finding representative objects

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · October 1, 2012 We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data point can be expressed as a linear combination of the representatives and formulat ... Full text Cite

Learning Robust Low-Rank Representations

Journal Article · September 27, 2012 In this paper we present a comprehensive framework for learning robust low-rank representations by combining and extending recent ideas for learning fast sparse coding regressors with structured non-convex optimization techniques. This approach connects ro ... Link to item Cite

Universal regularizers for robust sparse coding and modeling.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · September 2012 Sparse data models, where data is assumed to be well represented as a linear combination of a few elements from a dictionary, have gained considerable attention in recent years, and their use has led to state-of-the-art results in many signal and image pro ... Full text Cite

Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity Analysis from a Single Video

Journal Article · August 27, 2012 A framework for unsupervised group activity analysis from a single video is here presented. Our working hypothesis is that human actions lie on a union of low-dimensional subspaces, and thus can be efficiently modeled as sparse linear combinations of atoms ... Link to item Cite

L1 Splines for Robust, Simple, and Fast Smoothing of Grid Data

Journal Article · August 10, 2012 Splines are a popular and attractive way of smoothing noisy data. Computing splines involves minimizing a functional which is a linear combination of a fitting term and a regularization term. The former is classically computed using a (weighted) L2 norm wh ... Link to item Cite

A convex model for nonnegative matrix factorization and dimensionality reduction on physical space.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · July 2012 A collaborative convex framework for factoring a data matrix X into a nonnegative product AS , with a sparse coefficient matrix S, is proposed. We restrict the columns of the dictionary matrix A to coincide with certain columns of the data matrix X ... Full text Cite

Toward multiple catheters detection in fluoroscopic image guided interventions.

Journal Article IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society · July 2012 Catheters are routinely inserted via vessels to cavities of the heart during fluoroscopic image guided interventions for electrophysiology (EP) procedures such as ablation. During such interventions, the catheter undergoes nonrigid deformation due to physi ... Full text Cite

An MDL framework for sparse coding and dictionary learning

Journal Article IEEE Transactions on Signal Processing · June 1, 2012 The power of sparse signal modeling with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical inference and machine learning. However, the statistical properties of these mod ... Full text Cite

A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors

Journal Article Proceedings of IEEE Workshop on Applications of Computer Vision · May 11, 2012 In developmental disorders such as autism and schizophrenia, observing behavioral precursors in very early childhood can allow for early intervention and can improve patient outcomes. While such precursors open the possibility of broad and large-scale scre ... Full text Cite

Computational separation of conformational heterogeneity using cryo-electron tomography and 3D sub-volume averaging.

Journal Article J Struct Biol · May 2012 We have previously used cryo-electron tomography combined with sub-volume averaging and classification to obtain 3D structures of macromolecular assemblies in cases where a single dominant species was present, and applied these methods to the analysis of a ... Full text Link to item Cite

Sparse representations for range data restoration.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · May 2012 In this paper, the problem of denoising and occlusion restoration of 3-D range data based on dictionary learning and sparse representation methods is explored. We apply these techniques after converting the noisy 3-D surface into one or more images. We pre ... Full text Cite

Solving inverse problems with piecewise linear estimators: from Gaussian mixture models to structured sparsity.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · May 2012 A general framework for solving image inverse problems with piecewise linear estimations is introduced in this paper. The approach is based on Gaussian mixture models, which are estimated via a maximum a posteriori expectation-maximization algorithm. A dua ... Full text Cite

A 3D wavelet fusion approach for the reconstruction of isotropic-resolution MR images from orthogonal anisotropic-resolution scans.

Journal Article Magnetic resonance in medicine · April 2012 Hardware constraints, scanning time limitations, patient movement, and signal-to-noise ratio (SNR) considerations, restrict the slice-selection and the in-plane resolutions of MRI differently, generally resulting in anisotropic voxels. This nonuniform samp ... Full text Cite

Autonomy Revisited: The Question of Mediations and its Methodological Implications

Journal Article Paragraph · March 2012 Bourdieu's concept of the literary field aimed to overcome the opposition between internal and external analysis of literary works. This paper examines its theoretical and methodological implications by exploring the notion of mediations between t ... Full text Cite

Dictionary learning for noisy and incomplete hyperspectral images

Journal Article SIAM Journal on Imaging Sciences · February 13, 2012 We consider analysis of noisy and incomplete hyperspectral imagery, with the objective of removing the noise and inferring the missing data. The noise statistics may be wavelength dependent, and the fraction of data missing (at random) may be substantial, ... Full text Cite

Hierarchical topological network analysis of anatomical human brain connectivity and differences related to sex and kinship.

Journal Article NeuroImage · February 2012 Modern non-invasive brain imaging technologies, such as diffusion weighted magnetic resonance imaging (DWI), enable the mapping of neural fiber tracts in the white matter, providing a basis to reconstruct a detailed map of brain structural connectivity net ... Full text Cite

Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2012 Nonparametric Bayesian methods are considered for recovery of imagery based upon compressive, incomplete, and/or noisy measurements. A truncated beta-Bernoulli process is employed to infer an appropriate dictionary for the data under test and also for imag ... Full text Cite

Structural mechanism of trimeric HIV-1 envelope glycoprotein activation.

Journal Article PLoS Pathog · 2012 HIV-1 infection begins with the binding of trimeric viral envelope glycoproteins (Env) to CD4 and a co-receptor on target T-cells. Understanding how these ligands influence the structure of Env is of fundamental interest for HIV vaccine development. Using ... Full text Link to item Cite

Feasibility of using ultra-high field (7 T) MRI for clinical surgical targeting.

Journal Article PloS one · January 2012 The advantages of ultra-high magnetic field (7 Tesla) MRI for basic science research and neuroscience applications have proven invaluable. Structural and functional MR images of the human brain acquired at 7 T exhibit rich information content with potentia ... Full text Cite

Comprehensive in vivo mapping of the human basal ganglia and thalamic connectome in individuals using 7T MRI.

Journal Article PloS one · January 2012 Basal ganglia circuits are affected in neurological disorders such as Parkinson's disease (PD), essential tremor, dystonia and Tourette syndrome. Understanding the structural and functional connectivity of these circuits is critical for elucidating the mec ... Full text Cite

Simultaneous ODF estimation and tractography in HARDI.

Journal Article Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · January 2012 We consider the problem of tracking white matter fibers in high angular resolution diffusion imaging (HARDI) data while simultaneously estimating the local fiber orientation profile. Prior work showed that an unscented Kalman filter (UKF) can be used for t ... Full text Cite

A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING.

Journal Article Proceedings. IEEE International Symposium on Biomedical Imaging · January 2012 The presence of noise in High Angular Resolution Diffusion Imaging (HARDI) data of the brain can limit the accuracy with which fiber pathways of the brain can be extracted. In this work, we present a variational model to denoise HARDI data corrupted by Ric ... Full text Cite

A multi-sensor visual tracking system for behavior monitoring of at-risk children

Journal Article Proceedings - IEEE International Conference on Robotics and Automation · January 1, 2012 Clinical studies confirm that mental illnesses such as autism, Obsessive Compulsive Disorder (OCD), etc. show behavioral abnormalities even at very young ages; the early diagnosis of which can help steer effective treatments. Most often, the behavior of su ... Full text Cite

Kernelized probabilistic matrix factorization: Exploiting graphs and side information

Conference Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012 · January 1, 2012 We propose a new matrix completion algorithm| Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix factorization process. Unlike Probabilistic Matrix Factorization (PMF) [14], which ... Full text Cite

ON THE STATE Classes at College d eFrance, 1989-1992

Journal Article QUINZAINE LITTERAIRE · 2012 Cite

Online Adaptive Statistical Compressed Sensing of Gaussian Mixture Models

Journal Article · December 26, 2011 A framework of online adaptive statistical compressed sensing is introduced for signals following a mixture model. The scheme first uses non-adaptive measurements, from which an online decoding scheme estimates the model selection. As soon as a candidate m ... Link to item Cite

Dependent hierarchical beta process for image interpolation and denoising

Journal Article Journal of Machine Learning Research · December 1, 2011 A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features, with covariate-dependent feature usage. The dHBP is applicable to general covariates and data models, imposin ... Cite

Statistical compressed sensing of Gaussian mixture models

Journal Article IEEE Transactions on Signal Processing · December 1, 2011 A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribution, and achieving accurate reconstruction on average, is introduced. SCS bas ... Full text Cite

Hierarchical invariant sparse modeling for image analysis

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2011 Sparse representation theory has been increasingly used in signal processing and machine learning. In this paper we introduce a hierarchical sparse modeling approach which integrates information from the image patch level to derive a mid-level invariant im ... Full text Cite

Differential information content in staggered multiple shell hardi measured by the tensor distribution function

Journal Article Proceedings - International Symposium on Biomedical Imaging · November 2, 2011 Diffusion tensor imaging has accelerated the study of brain connectivity, but single-tensor diffusion models are too simplistic to model fiber crossing and mixing. Hybrid diffusion imaging (HYDI) samples the radial and angular structure of local diffusion ... Full text Cite

Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins

Journal Article Proceedings - International Symposium on Biomedical Imaging · November 2, 2011 Cortical connectivity is associated with cognitive and behavioral traits that are thought to vary between sexes. Using high-angular resolution diffusion imaging at 4 Tesla, we scanned 234 young adult twins and siblings (mean age: 23.4 2.0 SD years) with 94 ... Full text Cite

Online motion detection in high angular resolution diffusion imaging

Journal Article Proceedings - International Symposium on Biomedical Imaging · November 2, 2011 The orientation distribution function (ODF) can be reconstructed online incrementally from diffusion-weighted MRI with a Kalman filtering framework. This online reconstruction can provide real-time feedback to the practitioner, especially appreciated for l ... Full text Cite

3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering

Journal Article Proceedings - International Symposium on Biomedical Imaging · November 2, 2011 High angular resolution diffusion imaging (HARDI) allows population studies of fiber integrity and connectivity. Tractography can extract individual fibers. For group studies, fibers must be clustered into recognizable bundles found consistently across sub ... Full text Cite

Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery

Journal Article IEEE Transactions on Geoscience and Remote Sensing · November 1, 2011 A method is presented for subpixel modeling, mapping, and classification in hyperspectral imagery using learned block-structured discriminative dictionaries, where each block is adapted and optimized to represent a material in a compact and sparse manner. ... Full text Cite

Comparing shapes, understanding evolution.

Journal Article Proceedings of the National Academy of Sciences of the United States of America · November 2011 Full text Cite

On the integration of topic modeling and dictionary learning

Journal Article Proceedings of the 28th International Conference on Machine Learning, ICML 2011 · October 7, 2011 A new nonparametric Bayesian model is developed to integrate dictionary learning and topic model into a unified framework. The model is employed to analyze partially annotated images, with the dictionary learning performed directly on image patches. Effici ... Cite

The hierarchical beta process for convolutional factor analysis and deep learning

Journal Article Proceedings of the 28th International Conference on Machine Learning, ICML 2011 · October 7, 2011 A convolutional factor-analysis model is developed, with the number of filters (factors) inferred via the beta process (BP) and hierarchical BP, for single-task and multi-task learning, respectively. The computation of the model parameters is implemented w ... Cite

Esophagus silhouette extraction and reconstruction from fluoroscopic views for cardiac ablation procedure guidance.

Journal Article IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society · September 2011 Cardiac ablation involves the risk of serious complications when thermal injury to the esophagus occurs. This paper proposes to reduce the risk of such injuries by a proactive visualization technique, improving physician awareness of the esophagus location ... Full text Cite

C-HiLasso: A collaborative hierarchical sparse modeling framework

Journal Article IEEE Transactions on Signal Processing · September 1, 2011 Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an ℓ1-regularized linear regression problem, commonly referred to as Lasso or Basis Pursuit. In this work we combine ... Full text Cite

Covariate-dependent dictionary learning and sparse coding

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · August 18, 2011 A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covariate-dependent feature usage. The dHBP is applicable to general covariates an ... Full text Cite

Sparse coding and dictionary learning based on the MDL principle

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · August 18, 2011 The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical inference and machine learning. However, the statistical properties of these model ... Full text Cite

Efficient matrix completion with Gaussian models

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · August 18, 2011 A general framework based on Gaussian models and a MAPEM algorithm is introduced in this paper for solving matrix/ table completion problems. The numerical experiments with the standard and challenging movie ratings data show that the proposed approach, ba ... Full text Cite

Collaborative sources identification in mixed signals via hierarchical sparse modeling

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · August 18, 2011 A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on C-HiLasso, a convex collaborative hierarchical sparse model, and proceeds as follows. First, we build a structured dictionar ... Full text Cite

Statistical compressive sensing of Gaussian mixture models

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · August 18, 2011 A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribution and achieving accurate reconstruction on average, is introduced. For ... Full text Cite

A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography.

Journal Article Medical image analysis · August 2011 A global probabilistic fiber tracking approach based on the voting process provided by the Hough transform is introduced in this work. The proposed framework tests candidate 3D curves in the volume, assigning to each one a score computed from the diffusion ... Full text Cite

A continuum mechanical approach to geodesics in shape space

Journal Article International Journal of Computer Vision · July 1, 2011 In this paper concepts from continuum mechanics are used to define geodesic paths in the space of shapes, where shapes are implicitly described as boundary contours of objects. The proposed shape metric is derived from a continuum mechanical notion of visc ... Full text Cite

A variational framework for exemplar-based image inpainting

Journal Article International Journal of Computer Vision · July 1, 2011 Non-local methods for image denoising and inpainting have gained considerable attention in recent years. This is in part due to their superior performance in textured images, a known weakness of purely local methods. Local methods on the other hand have de ... Full text Cite

Technical perspective: Images everywhere looking for models

Journal Article Communications of the ACM · May 1, 2011 Deriving appropriate regularization terms, priors or models, has occupied the research community since the early days of digital image processing. Different image models can be appropriate for different types of images; for example, MRI and natural images ... Full text Cite

ATLAS-BASED FIBER CLUSTERING FOR MULTI-SUBJECT ANALYSIS OF HIGH ANGULAR RESOLUTION DIFFUSION IMAGING TRACTOGRAPHY.

Journal Article Proceedings. IEEE International Symposium on Biomedical Imaging · April 2011 High angular resolution diffusion imaging (HARDI) allows in vivo analysis of the white matter structure and connectivity. Based on orientation distribution functions (ODFs) that represent the directionality of water diffusion at each point in the br ... Full text Cite

Blind Compressed Sensing Over a Structured Union of Subspaces

Journal Article · March 12, 2011 This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple sensing matrices, under the assumption that the unknown signals come from a uni ... Link to item Cite

Dimensionality reduction via subspace and submanifold learning

Journal Article IEEE Signal Processing Magazine · January 1, 2011 The problem of finding and exploiting low-dimensional structures in high-dimensional data is taking on increasing importance in image, video, or audio processing; Web data analysis/search; and bioinformatics, where data sets now routinely lie in observatio ... Full text Cite

Statistical Compressed Sensing of Gaussian Mixture Models.

Journal Article IEEE Trans. Signal Process. · 2011 Full text Cite

Merchants of Culture. The Publishing Business in the Twenty-First Century

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 2011 Cite

Discriminative sparse representations in hyperspectral imagery

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2010 Recent advances in sparse modeling and dictionary learning for discriminative applications show high potential for numerous classification tasks. In this paper, we show that highly accurate material classification from hyperspectral imagery (HSI) can be ob ... Full text Cite

Nonparametric image interpolation and dictionary learning using spatially-dependent dirichlet and beta process priors

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2010 We present a Bayesian model for image interpolation and dictionary learning that uses two nonparametric priors for sparse signal representations: the beta process and the Dirichlet process. Additionally, the model uses spatial information within the image ... Full text Cite

Image modeling and enhancement via structured sparse model selection

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2010 An image representation framework based on structured sparsemodel selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned orthogonal bases. For an image patch, a model is first selected from this dict ... Full text Cite

A comprehensive framework for image inpainting.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · October 2010 Inpainting is the art of modifying an image in a form that is not detectable by an ordinary observer. There are numerous and very different approaches to tackle the inpainting problem, though as explained in this paper, the most successful algorithms are b ... Full text Cite

A gromov-hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching

Journal Article International Journal of Computer Vision · September 1, 2010 In this paper, the problem of non-rigid shape recognition is studied from the perspective of metric geometry. In particular, we explore the applicability of diffusion distances within the Gromov-Hausdorff framework. While the traditionally used geodesic di ... Full text Cite

Classification and clustering via dictionary learning with structured incoherence and shared features

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · August 31, 2010 A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, as in k-means type of approaches that model the data as distributions around ... Full text Cite

Online orientation distribution function reconstrugtion in constant solid angle and its application to motion detection in HARDI

Journal Article 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings · August 9, 2010 The diffusion orientation distribution function (ODF) can be reconstructed from q-ball imaging (QBI) to map the complex intravoxel structure of water diffusion. As acquisition time is particularly large for high angular resolution diffusion imaging (HARDI) ... Full text Cite

Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle.

Journal Article Magnetic resonance in medicine · August 2010 q-Ball imaging is a high-angular-resolution diffusion imaging technique that has been proven very successful in resolving multiple intravoxel fiber orientations in MR images. The standard computation of the orientation distribution function (the probabilit ... Full text Cite

Collaborative hierarchical sparse modeling

Journal Article 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010 · June 24, 2010 Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is done by solving an ℓ1-regularized linear regression problem, usually called Lasso. In this work we first combine the sparsity-inducing pr ... Full text Cite

Simultaneous object classification and segmentation with high-order multiple shape models.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · March 2010 Shape models (SMs), capturing the common features of a set of training shapes, represent a new incoming object based on its projection onto the corresponding model. Given a set of learned SMs representing different objects classes, and an image with a new ... Full text Cite

Online learning for matrix factorization and sparse coding

Journal Article Journal of Machine Learning Research · February 22, 2010 Sparse coding-that is, modelling data vectors as sparse linear combinations of basis elements-is widely used in machine learning, neuroscience, signal processing, and statistics. This paper focuses on the large-scale matrix factorization problem that consi ... Cite

The development of gyrification in childhood and adolescence.

Journal Article Brain and cognition · February 2010 Gyrification is the process by which the brain undergoes changes in surface morphology to create sulcal and gyral regions. The period of greatest development of brain gyrification is during the third trimester of pregnancy, a period of time in which the br ... Full text Cite

A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths

Journal Article Journal of Geophysical Research: Earth Surface · January 1, 2010 [1] A geometric framework for the automatic extraction of channels and channel networks from high-resolution digital elevation data is introduced in this paper. The proposed approach incorporates nonlinear diffusion for the preprocessing of the data, both ... Cite

Sparse representation for computer vision and pattern recognition

Journal Article Proceedings of the IEEE · January 1, 2010 Techniques from sparse signal representation are beginning to see significant impact in computer vision, often on nontraditional applications where the goal is not just to obtain a compact high-fidelity representation of the observed signal, but also to ex ... Full text Cite

Automatic colon polyp flagging via geometric and texture features.

Journal Article Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · January 2010 Computer Tomographic Colonography, combined with computer-aided detection (CAD), is a promising emerging technique for colonic polyp analysis. We present a CAD scheme for polyp flagging based on new texture and geometric features that consider both the inf ... Full text Cite

Dynamic color flow: A motion-adaptive color model for object segmentation in video

Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2010 Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, localized Gaussian mixtures, and pixel-wise adaptive ones, often fail to acc ... Full text Cite

Hierarchical dictionary learning for invariant classification

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · January 1, 2010 Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transformations such as image rotations, and the representation is very sensitive even ... Full text Cite

Dictionary learning and sparse coding for unsupervised clustering

Journal Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings · January 1, 2010 A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, as in k-means type of approaches that model the data as distributions around ... Full text Cite

A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths

Journal Article Journal of Geophysical Research: Earth Surface · 2010 [1] A geometric framework for the automatic extraction of channels and channel networks from high-resolution digital elevation data is introduced in this paper. The proposed approach incorporates nonlinear diffusion for the preprocessing of the data, both ... Cite

ODF maxima extraction in spherical harmonic representation via analytical search space reduction.

Journal Article Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · January 2010 By revealing complex fiber structure through the orientation distribution function (ODF), q-ball imaging has recently become a popular reconstruction technique in diffusion-weighted MRI. In this paper, we propose an analytical dimension reduction approach ... Full text Cite

Special Section on Optimization in Imaging Sciences

Journal Article SIAM Journal on Imaging Sciences · January 2010 Full text Cite

Universal Sparse Modeling

Journal Article CoRR · 2010 Cite

Online Learning for Matrix Factorization and Sparse Coding.

Journal Article J. Mach. Learn. Res. · 2010 Cite

All scientific careers have autobiographical moments

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 2010 Cite

THE LAST JEW

Journal Article QUINZAINE LITTERAIRE · 2010 Cite

The production of colonial and post-colonial representations

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 2010 Cite

Discriminative k-metrics

Journal Article Proceedings of the 26th International Conference On Machine Learning, ICML 2009 · December 9, 2009 The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a modification of the k q-flats framework for pattern classification is introdu ... Cite

Non-local sparse models for image restoration

Journal Article Proceedings of the IEEE International Conference on Computer Vision · December 1, 2009 We propose in this paper to unify two different approaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has proven to be very effective in image reconstruction and classification tasks. On t ... Full text Cite

Universal priors for sparse modeling

Journal Article CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing · December 1, 2009 Sparse data models, where data is assumed to be well represented as a linear combination of a few elements from a dictionary, have gained considerable attention in recent years, and their use has led to state-of-the-art results in many signal and image pro ... Full text Cite

Discriminative k metrics and the Chan-Vese model for object detection and segmentation

Journal Article Proceedings of SPIE - The International Society for Optical Engineering · November 19, 2009 In this work, a modification of the k q-flats framework for pattern classification introduced in [9] is used for pixelwise object detection. We include a preliminary discussion of augmenting this method is with a Chan-Vese-like geometric regularization © 2 ... Full text Cite

Exemplar-based interpolation of sparsely sampled images

Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · November 6, 2009 A nonlocal variational formulation for interpolating a sparsely sampled image is introduced in this paper. The proposed variational formulation, originally motivated by image inpainting problems, encourages the transfer of information between similar image ... Full text Cite

Geodesics in shape space via variational time discretization

Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · November 6, 2009 A variational approach to defining geodesics in the space of implicitly described shapes is introduced in this paper. The proposed framework is based on the time discretization of a geodesic path as a sequence of pairwise matching problems, which is strict ... Full text Cite

A variational framework for non-local image inpainting

Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · November 6, 2009 Non-local methods for image denoising and inpainting have gained considerable attention in recent years. This is in part due to their superior performance in textured images, a known weakness of purely local methods. Local methods on the other hand have de ... Full text Cite

Measurement of cortical thickness from MRI by minimum line integrals on soft-classified tissue.

Journal Article Human brain mapping · October 2009 Estimating the thickness of the cerebral cortex is a key step in many brain imaging studies, revealing valuable information on development or disease progression. In this work, we present a framework for measuring the cortical thickness, based on minimizin ... Full text Cite

Online dictionary learning for sparse coding

Journal Article ACM International Conference Proceeding Series · September 15, 2009 Sparse coding - that is, modelling data vectors as sparse linear combinations of basis elements - is widely used in machine learning, neuroscience, signal processing, and statistics. This paper focuses on learning the basis set, also called dictionary, to ... Full text Cite

Discriminative k-metrics

Journal Article ACM International Conference Proceeding Series · September 15, 2009 The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a modification of the k q-flats framework for pattern classification is introdu ... Full text Cite

Un héritage symbolique détourné ? La nouvelle revue française des années noires1

Journal Article Études littéraires · September 1, 2009 La reparution de La nouvelle revue française sous l’Occupation allemande en France pose la question à la fois théorique et pratique de la continuité des institutions. La NRF de Drieu La Rochelle ... Full text Cite

New possibilities with Sobolev active contours

Journal Article International Journal of Computer Vision · August 1, 2009 Recently, the Sobolev metric was introduced to define gradient flows of various geometric active contour energies. It was shown that the Sobolev metric outperforms the traditional metric for the same energy in many cases such as for tracking where the coar ... Full text Cite

Video SnapCut: Robust video object cutout using localized classifiers

Journal Article ACM Transactions on Graphics · July 27, 2009 Although tremendous success has been achieved for interactive object cutout in still images, accurately extracting dynamic objects in video remains a very challenging problem. Previous video cutout systems present two major limitations: (1) reliance on glo ... Full text Cite

Learning to sense sparse signals: simultaneous sensing matrix and sparsifying dictionary optimization.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · July 2009 Sparse signal representation, analysis, and sensing have received a lot of attention in recent years from the signal processing, optimization, and learning communities. On one hand, learning overcomplete dictionaries that facilitate a sparse representation ... Full text Cite

ODF RECONSTRUCTION IN Q-BALL IMAGING WITH SOLID ANGLE CONSIDERATION.

Journal Article Proceedings. IEEE International Symposium on Biomedical Imaging · June 2009 Q-ball imaging (QBI) is a high angular resolution diffusion imaging (HARDI) technique which has been proven very successful in resolving multiple intravoxel fiber orientations in MR images. The standard computation of the orientation distribution function ... Full text Cite

REDUCING STRUCTURAL VARIATION TO DETERMINE THE GENETICS OF WHITE MATTER INTEGRITY ACROSS HEMISPHERES - A DTI STUDY OF 100 TWINS.

Journal Article Proceedings. IEEE International Symposium on Biomedical Imaging · June 2009 Studies of cerebral asymmetry can open doors to understanding the functional specialization of each brain hemisphere, and how this is altered in disease. Here we examined hemispheric asymmetries in fiber architecture using diffusion tensor imaging (DTI) in ... Full text Cite

Geodesic matting: A framework for fast interactive image and video segmentation and matting

Journal Article International Journal of Computer Vision · April 1, 2009 An interactive framework for soft segmentation and matting of natural images and videos is presented in this paper. The proposed technique is based on the optimal, linear time, computation of weighted geodesic distances to user-provided scribbles, from whi ... Full text Cite

Mathematical methods for diffusion MRI processing.

Journal Article NeuroImage · March 2009 In this article, we review recent mathematical models and computational methods for the processing of diffusion Magnetic Resonance Images, including state-of-the-art reconstruction of diffusion models, cerebral white matter connectivity analysis, and segme ... Full text Cite

Three-dimensional arm movements at constant equi-affine speed.

Journal Article Cortex; a journal devoted to the study of the nervous system and behavior · March 2009 It has long been acknowledged that planar hand drawing movements conform to a relationship between movement speed and shape, such that movement speed is inversely proportional to the curvature to the power of one-third. Previous literature has detailed pot ... Full text Cite

An image processing approach to computing distances between RNA secondary structures dot plots.

Journal Article Algorithms for molecular biology : AMB · February 2009 BackgroundComputing the distance between two RNA secondary structures can contribute in understanding the functional relationship between them. When used repeatedly, such a procedure may lead to finding a query RNA structure of interest in a datab ... Full text Cite

Second-generation sparse modeling: Structured and collaborative signal analysis

Journal Article · January 1, 2009 In this chapter the authors go beyond traditional sparse modeling, and address collaborative structured sparsity to add stability and prior information to the representation. In structured sparse modeling, instead of considering the dictionary atoms as sin ... Full text Cite

Non-parametric Bayesian dictionary learning for sparse image representations

Journal Article Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference · January 1, 2009 Non-parametric Bayesian techniques are considered for learning dictionaries for sparse image representations, with applications in denoising, inpainting and com-pressive sensing (CS). The beta process is employed as a prior for learning the dictionary, and ... Cite

Supervised dictionary learning

Journal Article Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference · January 1, 2009 It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has been aimed at learning discriminative sparse models instead of purely reconstru ... Cite

Multiple shape models for simultaneous object classification and segmentation

Journal Article Proceedings - International Conference on Image Processing, ICIP · January 1, 2009 Shape models (SMs), capturing the common features of a set of training shapes, represent a new incoming object based on its projection onto the corresponding model. Given a set of learned SMs representing different objects, and an image with a new shape, t ... Full text Cite

Online dictionary learning for sparse coding

Journal Article Proceedings of the 26th International Conference On Machine Learning, ICML 2009 · January 1, 2009 Sparse coding - that is, modelling data vectors as sparse linear combinations of basis elements - is widely used in machine learning, neuroscience, signal processing, and statistics. This paper focuses on learning the basis set, also called dictionary, to ... Cite

Three-dimensional point cloud recognition via distributions of geometric distances

Journal Article Graphical Models · January 1, 2009 A geometric framework for the recognition of three-dimensional objects represented by point clouds is introduced in this paper. The proposed approach is based on comparing distributions of intrinsic measurements on the point cloud. In particular, intrinsic ... Full text Cite

Multiple Q-shell ODF reconstruction in Q-ball imaging.

Journal Article Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · January 2009 Q-ball imaging (QBI) is a high angular resolution diffusion imaging (HARDI) technique which has been proven very successful in resolving multiple intravoxel fiber orientations in MR images. The standard computation of the orientation distribution function ... Full text Cite

Generalized newton-type methods for energy formulations in image processing

Journal Article SIAM Journal on Imaging Sciences · January 1, 2009 Many problems in image processing are addressed via the minimization of a cost functional. The most prominently used optimization technique is gradient-descent, often used due to its simplicity and applicability where other techniques, e.g., those coming f ... Full text Cite

Seeing 3D Objects in a Single 2D Image

Conference Proceedings of the IEEE International Conference on Computer Vision · January 1, 2009 A general framework simultaneously addressing pose estimation, 2D segmentation, object recognition, and 3D reconstruction from a single image is introduced in this paper. The proposed approach partitions 3D space into voxels and estimates the voxel states ... Full text Cite

Intellectuals and politics: A Typology

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 2009 Cite

The commitment of intellectuals: new viewpoints

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 2009 Cite

Translated poisson mixture model for stratification learning

Journal Article International Journal of Computer Vision · December 1, 2008 A framework for the regularized and robust estimation of non-uniform dimensionality and density in high dimensional noisy data is introduced in this work. This leads to learning stratifications, that is, mixture of manifolds representing different characte ... Full text Cite

Generalized newton methods for energy formulations in image processing

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2008 Many problems in image processing are solved via the minimization of a cost functional. The most widely used optimization technique is the gradient descent, often used due to its simplicity and applicability where other optimization techniques, e.g., those ... Full text Cite

Evaluation of denoising algorithms for biological electron tomography.

Journal Article J Struct Biol · October 2008 Tomograms of biological specimens derived using transmission electron microscopy can be intrinsically noisy due to the use of low electron doses, the presence of a "missing wedge" in most data collection schemes, and inaccuracies arising during 3D volume r ... Full text Link to item Cite

Discriminative learned dictionaries for local image analysis

Journal Article 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR · September 23, 2008 Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article extends this line of research into a novel framework for local image discriminat ... Full text Cite

3D priors for scene learning from a single view

Journal Article 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops · September 22, 2008 A framework for scene learning from a single still video camera is presented in this work. In particular, the camera transformation and the direction of the shadows are learned using information extracted from pedestrians walking in the scene. The proposed ... Full text Cite

Three-dimensional point cloud recognition via distributions of geometric distances

Journal Article 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops · September 22, 2008 A geometric framework for the recognition of three-dimensional objects represented by point clouds is introduced in this paper The proposed approach is based on comparing distributions of intrinsic measurements on the point cloud. In particular, intrinsic ... Full text Cite

Super-resolution texturing for online virtual globes

Journal Article 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops · September 22, 2008 Online virtual globe applications such as Google Earth and Maps, Microsoft Virtual Earth, and Yahoo! Maps, allow users to explore realistic models of the Earth. To provide the ground-level detail of interest to users, it is necessary to serve and render hi ... Full text Cite

On the non-uniform complexity of brain connectivity

Journal Article 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI · September 10, 2008 A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides high-dimensional signals measuring the complex microstructure of biological tissues, such ... Full text Cite

Segmentation-free measurement of cortical thickness from MRI

Journal Article 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI · September 10, 2008 Estimating the thickness of cerebral cortex is a key step in many MR brain imaging studies, revealing valuable information on development or disease progression. In this work we present a new approach to measure the cortical thickness, based on minimizing ... Full text Cite

Sparse representations for limited data tomography

Journal Article 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI · September 10, 2008 In limited data tomography, with applications such as electron microscopy and medical imaging, the scanning views are within an angular range that is often both limited and sparsely sampled. In these situations, standard algorithms produce reconstructions ... Full text Cite

Molecular architecture of native HIV-1 gp120 trimers.

Journal Article Nature · September 4, 2008 The envelope glycoproteins (Env) of human and simian immunodeficiency viruses (HIV and SIV, respectively) mediate virus binding to the cell surface receptor CD4 on target cells to initiate infection. Env is a heterodimer of a transmembrane glycoprotein (gp ... Full text Link to item Cite

On geometric variational models for inpainting surface holes

Journal Article Computer Vision and Image Understanding · September 1, 2008 Geometric approaches for filling-in surface holes are introduced and studied in this paper. The basic principle is to choose the completing surface as one which minimizes a power of the mean curvature. We interpret this principle in a level set formulation ... Full text Cite

Multiscale representation and segmentation of hyperspectral imagery using geometric partial differential equations and algebraic multigrid methods

Journal Article IEEE Transactions on Geoscience and Remote Sensing · August 1, 2008 A fast algorithm for multiscale representation and segmentation of hyperspectral imagery is introduced in this paper. The multiscale/scale-space representation is obtained by solving a nonlinear diffusion partial differential equation (PDE) for vector-valu ... Full text Cite

Translation and the field of publishing

Journal Article Translation Studies · July 2008 Full text Cite

Unsupervised spectral-spatial classification of hyperspectral imagery using real and complex features and generalized histograms

Journal Article Proceedings of SPIE - The International Society for Optical Engineering · June 17, 2008 In this work, we study unsupervised classification algorithms for hyperspectral images based on band-by-band scalar histograms and vector-valued generalized histograms, obtained by vector quantization. The corresponding histograms are compared by dissimila ... Full text Cite

Molecular Architecture of Native HIV-1 gp 120 Trimers

Journal Article Chemtracts · June 1, 2008 A critical step in human and simian immunodeficiency virus (HIV and SIV, respectively) pathogenesis is entry into the target cell. The process of infection is mediated by envelope glycoproteins, Env, which assemble in a trim- eric form on the surface of th ... Cite

Topological analysis of population activity in visual cortex.

Journal Article Journal of vision · June 2008 Information in the cortex is thought to be represented by the joint activity of neurons. Here we describe how fundamental questions about neural representation can be cast in terms of the topological structure of population activity. A new method, based on ... Full text Cite

Classification and 3D averaging with missing wedge correction in biological electron tomography.

Journal Article Journal of structural biology · June 2008 Strategies for the determination of 3D structures of biological macromolecules using electron crystallography and single-particle electron microscopy utilize powerful tools for the averaging of information obtained from 2D projection images of structurally ... Full text Cite

Robust foreground detection in video using pixel layers.

Journal Article IEEE transactions on pattern analysis and machine intelligence · April 2008 A framework for robust foreground detection that works under difficult conditions such as dynamic background and moderately moving camera is presented in this paper. The proposed method includes two main components: coarse scene representation as the union ... Full text Cite

Learning multiscale sparse representations for image and video restoration

Journal Article Multiscale Modeling and Simulation · January 1, 2008 This paper presents a framework for learning multiscale sparse representations of color images and video with overcomplete dictionaries. A single-scale K-SVD algorithm was introduced in [M. Aharon, M. Elad, and A. M. Bruckstein, IEEE Trans. Signal Process. ... Full text Cite

Sparse representation for color image restoration.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2008 Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over a redundant dictionary leads to efficient algorithms for handling such sources of dat ... Full text Cite

Statistical characterization of protein ensembles.

Journal Article IEEE/ACM transactions on computational biology and bioinformatics · January 2008 When accounting for structural fluctuations or measurement errors, a single rigid structure may not be sufficient to represent a protein. One approach to solve this problem is to represent the possible conformations as a discrete set of observed conformati ... Full text Cite

Message from the Editor-in-Chief

Journal Article SIAM Journal on Imaging Sciences · January 2008 Full text Cite

Statistical Characterization of Protein Ensembles.

Journal Article IEEE ACM Trans. Comput. Biol. Bioinform. · 2008 Full text Cite

Supervised Dictionary Learning.

Conference NIPS · 2008 Cite

GENERALIZED NEWTON METHODS FOR ENERGY FORMULATIONS IN IMAGE PROCESSING

Conference 2008 IEEE International Conference on Image Processing, Proceedings · 2008 Link to item Cite

A variational framework for simultaneous motion estimation and restoration of motion-blurred video

Journal Article Proceedings of the IEEE International Conference on Computer Vision · December 1, 2007 The problem of motion estimation and restoration of objects in a blurred video sequence is addressed in this paper. Fast movement of the objects, together with the aperture time of the camera, result in a motion-blurred image. The direct velocity estimatio ... Full text Cite

Stratification learning: Detecting mixed density and dimensionality in high dimensional point clouds

Journal Article Advances in Neural Information Processing Systems · December 1, 2007 The study of point cloud data sampled from a stratification, a collection of manifolds with possible different dimensions, is pursued in this paper. We present a technique for simultaneously soft clustering and estimating the mixed dimensionality and densi ... Cite

A geodesic framework for fast interactive image and video segmentation and matting

Journal Article Proceedings of the IEEE International Conference on Computer Vision · December 1, 2007 An interactive framework for soft segmentation and matting of natural images and videos is presented in this paper. The proposed technique is based on the optimal, linear time, computation of weighted geodesic distances to the user-provided scribbles, from ... Full text Cite

What can casual walkers tell us about a 3D scene?

Journal Article Proceedings of the IEEE International Conference on Computer Vision · December 1, 2007 An approach for incremental learning of a 3D scene from a single static video camera is presented in this paper. In particular, we exploit the presence of casual people walking in the scene to infer relative depth, learn shadows, and segment the critical g ... Full text Cite

From gigabytes to bytes: Automated denoising and feature identification in electron tomograms of intact bacterial cells

Journal Article 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings · November 27, 2007 Advances in automated data acquisition in electron tomography have led to an explosion in the amount of data that can be obtained about the spatial architecture of a variety of biologically and medically relevant objects with resolutions in the "nano" rang ... Full text Cite

Regularization for inverting the radon transform with wedge consideration

Journal Article 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings · November 27, 2007 In limited angle tomography, with applications such as electron microscopy, medical imaging, and industrial testing, the object of interest is scanned over a limited angular range, which is less than the full 180° mathematically required for density recons ... Full text Cite

Classification, averaging and reconstruction of macromolecules in electron tomography

Journal Article 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings · November 27, 2007 Electron tomography provides opportunities to determine diree-dimensional cellular architecture at resolutions high enough to identify individual macromolecules such as proteins. Image analysis of such data poses a challenging problem due to the extremely ... Full text Cite

Fast multi-scale regularization and segmentation of hyperspectral imagery via anisotropic diffusion and Algebraic Multigrid solvers

Journal Article Proceedings of SPIE - The International Society for Optical Engineering · November 15, 2007 This paper presents an algorithm that generates a scale-space representation of hyperspectral imagery using Algebraic Multigrid (AMG) solvers. The scale-space representation is obtained by solving with AMG a vector-valued anisotropic diffusion equation, wi ... Full text Cite

Французское поле литературы; структура, динамика и формы политизации

Scholarly Edition · October 27, 2007 Данная статья, основанная на разработанной Пьером Бурдье теории поля и на эмпирических исследованиях о писателях во Франции, представляет принципы структурирования французского поля литературы с конца XIX в. по начало 1970-х гг. Структура французского поля ... Cite

Connecting the out-of-sample and pre-image problems in Kernel methods

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · October 11, 2007 Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more appropriate for analysis. Many manifold learning and dimensionality reduction techniques are ... Full text Cite

Regularized mixed dimensionality and density learning in computer vision

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · October 11, 2007 A framework for the regularized estimation of non-uniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, that is, mixture of manifolds representing different characteristics and compl ... Full text Cite

Meshless geometric subdivision

Journal Article Graphical Models · May 1, 2007 Point-based surface processing has developed into an attractive alternative to mesh-based processing tools for a number of geometric modeling applications. By working with point clouds directly, processing is based on the raw data and its underlying geomet ... Full text Cite

Spatially coherent nonlinear dimensionality reduction and segmentation of hyperspectral images

Journal Article IEEE Geoscience and Remote Sensing Letters · April 1, 2007 The nonlinear dimensionality reduction and its effects on vector classification and segmentation of hyperspectral images are investigated in this letter. In particular, the way dimensionality reduction influences and helps classification and segmentation i ... Full text Cite

Interactive image segmentation via adaptive weighted distances.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · April 2007 An interactive algorithm for soft segmentation of natural images is presented in this paper. The user first roughly scribbles different regions of interest, and from them, the whole image is automatically segmented. This soft segmentation is obtained via f ... Full text Cite

A geometric method for automatic extraction of sulcal fundi.

Journal Article IEEE transactions on medical imaging · April 2007 Sulcal fundi are 3-D curves that lie in the depths of the cerebral cortex and, in addition to their intrinsic value in brain research, are often used as landmarks for downstream computations in brain imaging. In this paper, we present a geometric algorithm ... Full text Cite

Video inpainting under constrained camera motion.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · February 2007 A framework for inpainting missing parts of a video sequence recorded with a moving or stationary camera is presented in this work. The region to be inpainted is general: it may be still or moving, in the background or in the foreground, it may occlude one ... Full text Cite

New possibilities with Sobolev active contours

Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2007 Recently, the Sobolev metric was introduced to define gradient flows of various geometric active contour energies. It was shown that the Sobolev metric out-performs the traditional metric for the same energy in many cases such as for tracking where the coa ... Full text Cite

A graph-based foreground representation and its application in example based people matching in video

Journal Article Proceedings - International Conference on Image Processing, ICIP · January 1, 2007 In this work, we propose a framework for foreground representation, in video and illustrate it with a multi-camera people matching application. We first decompose the video into foreground and back-ground. A low-level coarse segmentation of the foreground ... Full text Cite

Distancecut: Interactive segmentation and matting of images and videos

Journal Article Proceedings - International Conference on Image Processing, ICIP · January 1, 2007 An interactive algorithm for soft segmentation and matting of natural Images and videos is presented in this paper. The technique follows and extends [10], where the user first roughly scribbles/labels different regions of interest, and from them the whole ... Full text Cite

What Can Casual Walkers Tell Us About A 3D Scene?

Conference 2007 IEEE 11th International Conference on Computer Vision · 2007 Full text Cite

The ideology of the donation

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 2007 Cite

A graph-based foreground representation and its application in example based people matching in video

Conference 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 · 2007 Cite

The artistic vocation between donation and self-donation

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 2007 Cite

Distancecut: Interactive segmentation and matting of images and videos

Conference 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 · 2007 Cite

I never learned to write - The paths of creation

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 2007 Cite

Multiscale sparse image representation with learned dictionaries

Conference 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 · 2007 Link to item Cite

PDE-based image and surface inpainting

Journal Article · December 1, 2006 Inpainting, the technique of modifying an image in an undetectable form, is as ancient as art itself. The goals and applications of inpainting are numerous, from the restoration of damaged paintings, photographs and films, to the removal of selected undesi ... Full text Cite

Multiscale sparse image representation with learned dictionaries

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2006 This paper introduces a new framework for learning multiscale sparse representations of natural images with overcomplete dictionaries. Our work extends the K-SVD algorithm [1], which learns sparse single-scale dictionaries for natural images. Recent work h ... Full text Cite

Fair polyline networks for constrained smoothing of digital terrain elevation data

Journal Article IEEE Transactions on Geoscience and Remote Sensing · December 1, 2006 In this paper, a framework for smoothing gridlike digital terrain elevation data, which achieves a fair shape bymeans of minimizing an energy functional, is presented. The minimization is performed under the side condition of hard constraints, which comes ... Full text Cite

A geometric method for automatic extraction of sulcal fundi

Journal Article 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings · November 17, 2006 Sulcal fundi are 3D curves that lie in the depths of the cerebral cortex and are often used as landmarks for downstream computations in brain imaging. We present a sequence of geometric algorithms which automatically extract the sulcal fundi from magnetic ... Cite

Image and video colorization

Chapter · October 20, 2006 Cite

Fourth order partial differential equations on general geometries

Journal Article Journal of Computational Physics · July 20, 2006 We extend a recently introduced method for numerically solving partial differential equations on implicit surfaces [M. Bertalmío, L.T. Cheng, S. Osher, G. Sapiro. Variational problems and partial differential equations on implicit surfaces, J. Comput. Phys ... Full text Cite

Shapes of antibody binding sites: qualitative and quantitative analyses based on a geomorphic classification scheme.

Journal Article The Journal of organic chemistry · July 2006 The topography of antibody binding sites has been classified into five types that evoke familiar geomorphic features of the Earth. The 229 antibody crystal structures from the Protein Data Bank were analyzed and classified into these classes. Relationships ... Full text Cite

Fast image and video colorization using chrominance blending.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · May 2006 Colorization, the task of coloring a grayscale image or video, involves assigning from the single dimension of intensity or luminance a quantity that varies in three dimensions, such as red, green, and blue channels. Mapping between intensity and color is, ... Full text Cite

Affine invariant surface evolutions for 3D image segmentation

Journal Article Proceedings of SPIE - The International Society for Optical Engineering · April 17, 2006 In this paper we present an algorithm for 3D medical image segmentation based on an affine invariant flow. The algorithm is simple to implement and semi-automatic. The technique is based on active contours evolving in time according to intrinsic geometric ... Full text Cite

O(N) implementation of the fast marching algorithm

Journal Article Journal of Computational Physics · March 1, 2006 In this note we present an implementation of the fast marching algorithm for solving Eikonal equations that in practice reduces the original run-time from O(N log N) to linear. This lower run-time cost is obtained while keeping an error bound of the same o ... Full text Cite

Computing with point cloud data

Chapter · January 1, 2006 Point clouds are one of the most primitive and fundamental manifold representations. A popular source of point clouds are three-dimensional shape acquisition devices such as laser range scanners. Another important field where point clouds are found is the ... Full text Cite

Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds

Conference NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems · January 1, 2006 The study of point cloud data sampled from a stratification, a collection of manifolds with possible different dimensions, is pursued in this paper. We present a technique for simultaneously soft clustering and estimating the mixed dimensionality and densi ... Cite

Constrained regularization of digital terrain elevation data

Journal Article IEEE Geoscience and Remote Sensing Letters · January 1, 2006 A framework for geometric regularization of elevation maps is introduced in this letter. The framework takes into account errors in the data, which form part of standard elevation maps specifications, as well as possible additional user/application-depende ... Full text Cite

Statistical analysis of RNA backbone.

Journal Article IEEE/ACM transactions on computational biology and bioinformatics · January 2006 Local conformation is an important determinant of RNA catalysis and binding. The analysis of RNA conformation is particularly difficult due to the large number of degrees of freedom (torsion angles) per residue. Proteins, by comparison, have many fewer deg ... Full text Cite

Statistical Analysis of RNA Backbone.

Journal Article IEEE ACM Trans. Comput. Biol. Bioinform. · 2006 Full text Cite

Intellectuals. The genre in the history of intellectuals.

Journal Article MOUVEMENT SOCIAL · 2006 Cite

The price of independence

Journal Article QUINZAINE LITTERAIRE · 2006 Cite

Fast image and video denoising via nonlocal means of similar neighborhoods

Journal Article IEEE Signal Processing Letters · December 1, 2005 In this letter, improvements to the nonlocal means image denoising method introduced by Buades et al. are presented. The original nonlocal means method replaces a noisy pixel by the weighted average of pixels with related surrounding neighborhoods. While p ... Full text Cite

Is image steganography natural?

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · December 2005 Steganography is the art of secret communication. Its purpose is to hide the presence of information, using, for example, images as covers. We experimentally investigate if stego-images, bearing a secret message, are statistically "natural." For this purpo ... Full text Cite

Video inpainting of occluding and occluded objects

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2005 We present a basic technique to fill-in missing parts of a video sequence taken from a static camera. Two important cases are considered. The first case is concerned with the removal of non-stationary objects that occlude stationary background. We use a pr ... Full text Cite

Tracking of moving objects under severe and total occlusions

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2005 We present an algorithm for tracking moving objects using intrinsic minimal surfaces which handles particularly well the presence of severe and total occlusions even in the presence of weak object boundaries. We adopt an edge based approach and find the se ... Full text Cite

Inpainting the colors

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2005 A framework for automatic image colorization, the art of adding color to a monochrome image or movie, is presented in this paper. The approach is based on considering the geometry and structure of the monochrome luminance input, given by its gradient infor ... Full text Cite

Level set and PDE methods for visualization

Journal Article Proceedings of the IEEE Visualization Conference · December 1, 2005 Level set methods, an important class of partial differential equation (PDE) methods, define dynamic surfaces implicitly as the level set (iso-surface) of a sampled, evolving nD function. This course is targeted for researchers interested in learning about ... Full text Cite

Distance functions and geodesics on submanifolds of ℝ d and point clouds

Journal Article SIAM Journal on Applied Mathematics · September 30, 2005 A theoretical and computational framework for computing intrinsic distance functions and geodesics on submanifolds of ℝ d given by point clouds is introduced and developed in this paper. The basic idea is that, as shown here, intrinsic distance functions a ... Full text Cite

An energy-based three-dimensional segmentation approach for the quantitative interpretation of electron tomograms.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · September 2005 Electron tomography allows for the determination of the three-dimensional structures of cells and tissues at resolutions significantly higher than that which is possible with optical microscopy. Electron tomograms contain, in principle, vast amounts of inf ... Full text Cite

A theoretical and computational framework for isometry invariant recognition of point cloud data

Journal Article Foundations of Computational Mathematics · July 1, 2005 Point clouds are one of the most primitive and fundamental manifold representations. Popular sources of point clouds are three-dimensional shape acquisition devices such as laser range scanners. Another important field where point clouds are found is in th ... Full text Cite

Three-dimensional shape rendering from multiple images

Journal Article Graphical Models · July 1, 2005 A paradigm for automatic three-dimensional shape and geometry rendering from multiple images is introduced in this paper. In particular, non-photorealistic rendering (NPR) techniques in the style of pen-and-ink illustrations are addressed, while the underl ... Full text Cite

Video inpainting of occluding and occluded objects

Conference 2005 International Conference on Image Processing (ICIP), Vols 1-5 · 2005 Cite

Tracking of moving objects under severe and total occlusions

Conference 2005 International Conference on Image Processing (ICIP), Vols 1-5 · January 1, 2005 Link to item Cite

Inpainting the colors

Conference 2005 International Conference on Image Processing (ICIP), Vols 1-5 · 2005 Cite

Geometric Active Contours for Image Segmentation

Journal Article · January 1, 2005 This chapter deals with an efficient and accurate approach in image segmentation: active contours. The general idea behind this technique is to apply partial differential equations (PDEs) to deform a curve or a surface toward the boundaries of the objects ... Full text Cite

Area-Based Medial Axis of Planar Curves.

Journal Article International journal of computer vision · December 2004 A new definition of affine invariant medial axis of planar closed curves is introduced. A point belongs to the affine medial axis if and only if it is equidistant from at least two points of the curve, with the distance being a minimum and given by the ... Full text Cite

Non-photorealistic rendering from multiple images

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2004 A new paradigm for automatic non-photorealistic rendering (NPR) is introduced in this paper. Existing NPR approaches can be categorized in two groups depending on the type of input they use: image based and object based. Using multiple images as input to t ... Full text Cite

Comparing point clouds

Journal Article ACM International Conference Proceeding Series · December 1, 2004 Point clouds are one of the most primitive and fundamental surface representations. A popular source of point clouds are three dimensional shape acquisition devices such as laser range scanners. Another important field where point clouds are found is in th ... Full text Cite

Automatic image decomposition

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2004 The decomposition of an image into its primitive components, such as cartoon plus texture, is a fundamental problem in image processing. In [11, 16], the authors proposed a technique to achieve this decomposition into structure and texture. These two compo ... Full text Cite

Lightfield completion

Journal Article Proceedings - International Conference on Image Processing, ICIP · December 1, 2004 A light field is a 4D function representing radiance as a function of ray position and direction in 3D space. In this paper we describe a method for recovering gaps in light fields of scenes that contain significant occluders. In these situations, although ... Full text Cite

A new approach for 3D segmentation of cellular tomograms obtained using three-dimensional electron microscopy

Journal Article 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano · December 1, 2004 Electron tomography allows determination of the three-dimensional structures of cells and tissues at resolutions significantly higher than is possible with optical microscopy. Electron tomograms contain, in principle, vast amounts of information on the loc ... Cite

Visibility and its dynamics in a PDE based implicit framework

Journal Article Journal of Computational Physics · September 1, 2004 We investigate the problem of determining visible regions given a set of (moving) obstacles and a (moving) vantage point. Our approach to this problem is through an implicit framework, where the obstacles are represented by a level set function. The visibi ... Full text Cite

Morse description and geometric encoding of digital elevation maps.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · September 2004 Two complementary geometric structures for the topographic representation of an image are developed in this work. The first one computes a description of the Morse-topological structure of the image, while the second one computes a simplified version of it ... Full text Cite

Level set and PDE methods for computer graphics

Conference ACM SIGGRAPH 2004 Course Notes, SIGGRAPH 2004 · August 8, 2004 Level set methods, an important class of partial differential equation (PDE) methods, define dynamic surfaces implicitly as the level set (iso-surface) of a sampled, evolving nD function. The course begins with preparatory material that introduces the conc ... Full text Cite

Das französische literarische Feld: Struktur, Dynamik und Formen der Politisierung

Journal Article Berliner Journal für Soziologie · June 2004 Full text Cite

Solving variational problems and partial differential equations mapping into general target manifolds

Journal Article Journal of Computational Physics · March 20, 2004 A framework for solving variational problems and partial differential equations that define maps onto a given generic manifold is introduced in this paper. We discuss the framework for arbitrary target manifolds, while the domain manifold problem was addre ... Full text Cite

Implicit brain imaging.

Journal Article NeuroImage · January 2004 We describe how implicit surface representations can be used to solve fundamental problems in brain imaging. This kind of representation is not only natural following the state-of-the-art segmentation algorithms reported in the literature to extract the di ... Full text Cite

Morse description and geometric encoding of digital elevation maps

Conference FREE BOUNDARY PROBLEMS: THEORY AND APPLICATIONS · 2004 Cite

Morse description and morphological encoding of continuous data

Journal Article Multiscale Modeling and Simulation · January 1, 2004 A geometric representation for images is studied in this work. This is based on two complementary geometric structures for the topographic representation of an image. The first one computes a description of the Morse structure, while the second one compute ... Full text Cite

Morse description and geometric encoding of DEM data

Journal Article IEEE International Conference on Image Processing · December 17, 2003 Two complementary geometric structures for the topographic representation of an image are developed in this work. The first one computes a description of the Morse structure of the image, while the second one computes a simplified version of its drainage s ... Cite

Inpainting surface holes

Journal Article IEEE International Conference on Image Processing · December 17, 2003 An algorithm for filling-in surface holes is introduced in this paper. The basic idea is to represent the surface of interest in implicit form, and fill-in the holes with a system of geometric partial differential equations derived from image inpainting al ... Cite

Color histogram equalization through mesh deformation

Journal Article IEEE International Conference on Image Processing · December 17, 2003 In this paper we propose an extension of grayscale histogram equalization for color images. For aesthetic reasons, previously proposed color histogram equalization techniques do not generate uniform color histograms. Our method will always generate an almo ... Cite

Projection based image and video inpainting using wavelets

Journal Article IEEE International Conference on Image Processing · December 16, 2003 In this paper, we present a technique for automatic color image inpainting, the art of modifying an image-region in a non-detectable form. The main algorithm is based on the theory of projections onto convex sets (POCS). The image and its wavelet transform ... Cite

Image filling-in in a decomposition space

Journal Article IEEE International Conference on Image Processing · December 16, 2003 An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented in this paper. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and ... Cite

Forms of politicization in the French literary field

Journal Article Theory and Society · December 2003 Full text Cite

Texture Synthesis for 3D Shape Representation

Journal Article IEEE Transactions on Visualization and Computer Graphics · October 1, 2003 Considerable evidence suggests that a viewer's perception of the 3D shape of a polygonally-defined object can be significantly affected (either masked or enhanced) by the presence of a surface texture pattern. However, investigations into the specific mech ... Full text Cite

Pre-clinical evaluation of Implicit Deformable Models for three-dimensional segmentation of brain aneurysms in CTA

Journal Article Proceedings of SPIE - The International Society for Optical Engineering · September 15, 2003 Knowledge of brain aneurysm dimensions is essential during the planning stage of minimally invasive surgical interventions using Guglielmi Detachable Coils (GDC). These parameters are obtained in clinical routine using 2D Maximum Intensity Projection image ... Full text Cite

Shock capturing, level sets, and PDE based methods in computer vision and image processing: A review of Osher's contributions

Journal Article Journal of Computational Physics · March 1, 2003 In this paper we review the algorithm development and applications in high resolution shock capturing methods, evel set methods, and PDE based methods in computer vision and image processing. The emphasis is on Stanley Osher's contribution in these areas a ... Full text Cite

Simultaneous structure and texture image inpainting.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2003 An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented in this paper. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and ... Full text Cite

Structure and texture filling-in of missing image blocks in wireless transmission and compression applications.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2003 An approach for filling-in blocks of missing data in wireless image transmission is presented. When compression algorithms such as JPEG are used as part of the wireless transmission process, images are first tiled into blocks of 8 x 8 pixels. When such ima ... Full text Cite

Visualization of high dynamic range images.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2003 A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many orders of magnitude higher than that of standard output/viewing devices, thereb ... Full text Cite

Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation

Journal Article Lecture Notes in Computer Science · January 1, 2003 Knowledge of brain aneurysm dimensions is essential in minimally invasive surgical interventions using Guglielmi Detachable Coils. These parameters are obtained in clinical routine using 2D maximum intensity projection images. Automated quantification of t ... Full text Cite

Simultaneous structure and texture image inpainting

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2003 An algorithm for the simultaneous filling-in of texture and structure in regions of missing image information is presented in this paper. The basic idea is to first decompose the image into the sum of two functions with different basic characteristics, and ... Cite

Guest editorial: Introduction to the special issue on imaging science

Journal Article Journal of Mathematical Imaging and Vision · January 1, 2003 Full text Cite

Segmentation of diffusion tensor imagery

Journal Article DIRECTIONS IN MATHEMATICAL SYSTEMS THEORY AND OPTIMIZATION · 2003 Cite

Texture synthesis for 3D shape representation

Journal Article Journal of Vision · December 1, 2002 If we could design the perfect texture pattern to apply to any smooth surface in order to enable observers to more accurately perceive the surface's shape in a static monocular image taken from an arbitrary generic viewpoint under standard lightingconditio ... Full text Cite

Special issue on partial differential equations in image processing, computer vision, and computer graphics

Journal Article Journal of Visual Communication and Image Representation · January 1, 2002 Full text Cite

Visualization of high dynamic range images

Journal Article IEEE International Conference on Image Processing · January 1, 2002 A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many orders of magnitude higher than that of standard output devices, thereby requir ... Cite

Structure and texture filling-in of missing image blocks in wireless transmission and compression

Journal Article IEEE International Conference on Image Processing · January 1, 2002 An approach for filling-in blocks of missing data in wireless image transmission is presented in this paper. When compression algorithms such as JPEG are used as part of the wireless transmission process, images are first tiled into blocks of 8 × 8 pixels. ... Cite

Wavelet-domain reconstruction of lost blocks in wireless image transmission and packet-switched networks

Journal Article IEEE International Conference on Image Processing · January 1, 2002 A fast scheme for wavelet-domain interpolation of lost image blocks in wireless image transmission is presented in this paper. In the transmission of block-coded images, fading in wireless channels and congestion in packet-switched networks can cause entir ... Cite

Variational problems and partial differential equations on implicit surfaces

Journal Article Journal of Computational Physics · December 10, 2001 A novel framework for solving variational problems and partial differential equations for scalar and vector-valued data defined on surfaces is introduced in this paper. The key idea is to implicitly represent the surface as the level set of a higher dimens ... Full text Cite

Navier-Stokes, fluid dynamics, and image and video inpainting

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · December 1, 2001 Image inpainting involves filling in part of an image or video using information from the surrounding area. Applications include the restoration of damaged photographs and movies and the removal of selected objects. In this paper, we introduce a class of a ... Cite

Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces

Journal Article Journal of Computational Physics · November 1, 2001 An algorithm for the computationally optimal construction of intrinsic weighted distance functions on implicit hyper-surfaces is introduced in this paper. The basic idea is to approximate the intrinsic weighted distance by the Euclidean weighted distance c ... Full text Cite

Evaluation of JPEG-LS, the new lossless and controlled-lossy still image compression standard, for compression of high-resolution elevation data

Journal Article IEEE Transactions on Geoscience and Remote Sensing · October 1, 2001 The compression of elevation data is studied in this paper. The performance of JPEG-LS, the new international ISO/ITU standard for lossless and near-lossless (controlled-lossy) still-image compression, is investigated both for data from the USGS digital el ... Full text Cite

A system for the generation of curves on 3D brain images.

Journal Article Human brain mapping · September 2001 In this study, a computational optimal system for the generation of curves on triangulated surfaces representing 3D brains is described. The algorithm is based on optimally computing geodesics on the triangulated surfaces following Kimmel and Sethian ([199 ... Full text Cite

On the computation of the affine skeletons of planar curves and the detection of skew symmetry

Journal Article Pattern Recognition · May 1, 2001 In this paper we discuss a new approach to compute discrete skeletons of planar shapes which is based on affine distances, being therefore affine invariant. The method works with generic curves that may contain concave sections, A dynamical interpretation ... Full text Cite

Vector probability diffusion

Journal Article IEEE Signal Processing Letters · April 1, 2001 A method for isotropic and anisotropic diffusion of vector probabilities in general, and posterior probabilities in particular, is introduced. The technique is based on diffusing via coupled partial differential equations restricted to the semi-hyperplane ... Full text Cite

Anisotropic 2-D and 3-D averaging of fMRI signals.

Journal Article IEEE transactions on medical imaging · February 2001 A novel method for denoising functional magnetic resonance imaging temporal signals is presented in this note. The method is based on progressively enhancing the temporal signal by means of adaptive anisotropic spatial averaging. This average is based on a ... Full text Cite

Crease enhancement diffusion

Journal Article Computer Vision and Image Understanding · January 1, 2001 Ridge and valley structures are important image features, especially in oriented textures. Usually, the extraction of these structures requires a prefiltering step to regularize the source image. In this paper, we show that classical diffusion-based filter ... Full text Cite

Filling-in by joint interpolation of vector fields and gray levels.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2001 A variational approach for filling-in regions of missing data in digital images is introduced. The approach is based on joint interpolation of the image gray levels and gradient/isophotes directions, smoothly extending in an automatic fashion the isophote ... Full text Cite

Color image enhancement via chromaticity diffusion.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2001 A novel approach for color image denoising is proposed in this paper. The algorithm is based on separating the color data into chromaticity and brightness, and then processing each one of these components with partial differential equations or diffusion fl ... Full text Cite

Missile tracking using knowledge-based adaptive thresholding

Journal Article IEEE International Conference on Image Processing · January 1, 2001 In this paper, we apply a knowledge-based segmentation method developed for still and video images to the problem of tracking missiles and high speed projectiles. Since we are only interested in segmenting a portion of the missile (namely, the nose cone), ... Cite

A variational model for filling-in gray level and color images

Journal Article Proceedings of the IEEE International Conference on Computer Vision · January 1, 2001 A variational approach for filling-in regions of missing data in gray-level and color images is introduced in this paper. The approach is based on joint interpolation of the image gray-levels and gradient/isophotes directions, smoothly extending in an auto ... Cite

Affine invariant erosion of 3D shapes

Journal Article Proceedings of the IEEE International Conference on Computer Vision · January 1, 2001 A new definition of affine invariant erosion of 3D surfaces is introduced. Instead of being based in terms of Euclidean distances, the volumes enclosed between the surface and its chords are used. The resulting erosion is insensitive to noise, and by const ... Cite

Harmonic map flows and image processing

Conference FOUNDATIONS OF COMPUTATIONAL MATHEMATICS · 2001 Cite

Variational problems and PDEs on implicit surfaces

Conference Proceedings - IEEE Workshop on Variational and Level Set Methods in Computer Vision, VLSM 2001 · January 1, 2001 A novel framework for solving variational problems and partial differential equations for scalar and vector-valued data defined on surfaces is introduced. The key idea is to implicitly represent the surface as the level set of a higher dimensional function ... Full text Cite

Segmenting skin lesions with partial differential equations based image processing algorithms

Journal Article IEEE International Conference on Image Processing · December 1, 2000 In this paper, a PDE-based system for detecting the boundary of skin lesions in digital clinical skin images is presented. The image is first-processed via contrast-enhancement and anisotropic diffusion. If the lesion is covered by hairs, a PDE-based conti ... Cite

Using anisotropic diffusion of probability maps for activity detection in block-design functional MRI

Journal Article IEEE International Conference on Image Processing · December 1, 2000 A new approach for improving the detection of pixels associated with neural activity in functional magnetic resonance imaging (fMRI) is presented. We propose to use anisotropic diffusion to exploit the spatial correlation between the active pixels in funct ... Cite

On the level lines and geometry of vector-valued images

Journal Article IEEE Signal Processing Letters · September 1, 2000 In this letter, we extend the concept of level lines of scalar images to vector-valued data. Consistent with the scalar case, we define the level-lines of vector-valued images as the integral curves of the directions of minimal vectorial change. This direc ... Full text Cite

Segmenting skin lesions with partial-differential-equations-based image processing algorithms.

Journal Article IEEE transactions on medical imaging · July 2000 In this paper, a partial-differential equations (PDE)-based system for detecting the boundary of skin lesions in digital clinical skin images is presented. The image is first preprocessed via contrast-enhancement and anisotropic diffusion. If the lesion is ... Full text Cite

Morphing active contours

Journal Article IEEE Transactions on Pattern Analysis and Machine Intelligence · July 1, 2000 A method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a Partial Differential Equation (PDE), while tracking the defo ... Full text Cite

Image Inpainting

Journal Article SIGGRAPH 2000 - Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques · July 1, 2000 Inpainting, the technique of modifying an image in an undetectable form, is as ancient as art itself. The goals and applications of inpainting are numerous, from the restoration of damaged paintings and photographs to the removal/replacement of selected ob ... Full text Cite

Special Issue on the Second International Conference on Scale Space Theory in Computer Vision

Journal Article Journal of Visual Communication and Image Representation · June 2000 Full text Cite

Conformal surface parameterization for texture mapping

Journal Article IEEE Transactions on Visualization and Computer Graphics · April 1, 2000 In this paper, we give an explicit method for mapping any simply connected surface onto the sphere in a manner which preserves angles. This technique relies on certain conformal mappings from differential geometry. Our method provides a new way to automati ... Full text Cite

The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2000 LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. It is conceived as a "low complexity projection" of the universa ... Full text Cite

Chromaticity diffusion

Journal Article IEEE International Conference on Image Processing · January 1, 2000 A novel approach for color image denoising is proposed in this paper. The algorithm is based on separating the color data into chromaticity and brightness, and then processing each one of these components with partial differential equations or diffusion fl ... Cite

Vector probability diffusion

Journal Article IEEE International Conference on Image Processing · 2000 A method for isotropic and anisotropic diffusion of vector probabilities in general, and posterior probabilities in particular, is introduced. The technique is based on diffusing via coupled partial differential equations restricted to the semi-hyperplane ... Cite

Knowledge-based segmentation of SAR data with learned priors.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2000 An approach for the segmentation of still and video synthetic aperture radar (SAR) images is described. A priori knowledge about the objects present in the image, e.g., target, shadow and background terrain, is introduced via Bayes' rule. Posterior probabi ... Full text Cite

Segmentation-free skeletonization of gray-scale images via PDE's

Journal Article IEEE International Conference on Image Processing · January 1, 2000 A simple approach to compute the skeletons of gray-scale images using partial differential equations is presented in this paper. The proposed scheme works directly on the gray-scale images, without the necessity of pre-segmentation (binarization), or the a ... Cite

Diffusion of general data on non-flat manifolds via harmonic maps theory: The direction diffusion case

Journal Article International Journal of Computer Vision · January 1, 2000 In a number of disciplines, directional data provides a fundamental source of information. A novel framework for isotropic and anisotropic diffusion of directions is presented in this paper. The framework can be applied both to denoise directional data and ... Full text Cite

Vector median filters, inf-sup operations, and coupled PDE's: Theoretical connections

Journal Article Journal of Mathematical Imaging and Vision · January 1, 2000 In this paper, we formally connect between vector median filters, inf-sup morphological operations, and geometric partial differential equations. Considering a lexicographic order, which permits to define an order between vectors in IRN, we first show that ... Full text Cite

Noise-resistant affine skeletons of planar curves

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2000 A new definition of affine invariant skeletons for shape re- presentation is introduced. A point belongs to the affine skeleton if and only if it is equidistant from at least two points of the curve, with the distance being a minima and given by the areas ... Full text Cite

Affine versions of the symmetry set

Conference REAL AND COMPLEX SINGULARITIES · 2000 Cite

From LOCO-I to the JPEG-LS standard

Journal Article IEEE International Conference on Image Processing · December 1, 1999 LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. The algorithm was conceived as a `low complexity projection' of ... Cite

Vector median filters, morphology, and PDE's: Theoretical connections

Journal Article IEEE International Conference on Image Processing · December 1, 1999 In this paper, we formally connect between vector median filters, morphological operators, and geometric partial differential equations. Considering a lexicographic order, which permits to define an order between vectors in IRN, we first show that the vect ... Cite

Color and illuminant voting

Journal Article IEEE Transactions on Pattern Analysis and Machine Intelligence · December 1, 1999 A gsometric-vision approach to color constancy and illuminant estimation is presented in this paper. We show a general framework, based on ideas from the generalized probabilistic Hough translorm, to estimate the illuminant and reflectance ot natural image ... Full text Cite

Region tracking on level-sets methods.

Journal Article IEEE transactions on medical imaging · May 1999 Since the work by Osher and Sethian on level-sets algorithms for numerical shape evolutions, this technique has been used for a large number of applications in numerous fields. In medical imaging, this numerical technique has been successfully used, for ex ... Full text Cite

Affine invariant detection: Edge maps, anisotropic diffusion, and active contours

Journal Article Acta Applicandae Mathematicae · January 1, 1999 In this paper we undertake a systematic investigation of affine invariant object detection and image denoising. Edge detection is first presented from the point of view of the affine invariant scale-space obtained by curvature based motion of the image lev ... Full text Cite

Direction diffusion

Journal Article Proceedings of the IEEE International Conference on Computer Vision · January 1, 1999 In a number of disciplines, directional data provides a fundamental source of information. A novel framework for isotropic and anisotropic diffusion of directions is presented in this paper. The framework can be applied both to regularize directional data ... Cite

Shape preserving local histogram modification.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 1999 A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by com ... Full text Cite

A windows-based user friendly system for image analysis with partial differential equations

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 1999 In this paper we present and briefly describe a Windows user-friendly system designed to assist with the analysis of images in general, and biomedical images in particular. The system, which is being made publicly available to the research community, imple ... Full text Cite

Morphing active contours

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 1999 A method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a partial differential equation, while tracking the deformatio ... Full text Cite

Region tracking on surfaces deforming via level-sets methods

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 1999 Since the work by Osher and Sethian on level-sets algorithms for numerical shape evolutions, this technique has been used for a large number of applications in numerous fields. In medical imaging, this numerical technique has been successfully used for exa ... Full text Cite

Edges as outliers: Anisotropic smoothing using local image statistics

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 1999 Edges are viewed as statistical outliers with respect to local image gradient magnitudes. Within local image regions we compute a robust statistical measure of the gradient variation and use this in an anisotropic diffusion framework to determine a spatial ... Full text Cite

Anisotropic smoothing of posterior probabilities

Conference DYNAMICAL SYSTEMS, CONTROL, CODING, COMPUTER VISION · 1999 Cite

Morphing active contours: a geometric approach to topology-independent image segmentation and tracking

Journal Article IEEE International Conference on Image Processing · December 1, 1998 A method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the second one via a partial differential equation, while tracking the deformatio ... Cite

Affine invariant medial axis and skew symmetry

Journal Article Proceedings of the IEEE International Conference on Computer Vision · December 1, 1998 Affine invariant medial axes and symmetry sets of planar shapes are introduced and studied in this paper. Two different approaches are presented. The first one is based on affine invariant distances, and defines the symmetry set, a set containing the media ... Cite

Bilinear voting

Journal Article Proceedings of the IEEE International Conference on Computer Vision · December 1, 1998 A geometric-vision approach to solve bilinear problems in general, and the color constancy and illuminant estimation problem in particular, is presented in this paper. We show a general framework, based on ideas from the generalized (probabilistic) Hough t ... Cite

Segmenting cortical gray matter for functional MRI visualization

Journal Article Proceedings of the IEEE International Conference on Computer Vision · December 1, 1998 We describe a system that is being used to segment gray matter and create connected cortical representations from MRI. The method exploits knowledge of the anatomy of the cortex and incorporates structural constraints into the segmentation. First, the whit ... Cite

Knowledge-based segmentation of SAR images

Journal Article IEEE International Conference on Image Processing · December 1, 1998 A new approach for the segmentation of still and video SAR images is described in this paper. A priori knowledge about the objects present in the image, e.g., target, shadow, and background terrain, is introduced via Bayes' rule. Posterior probabilities ob ... Cite

Segmenting neurons in electronic microscopy via geometric tracing

Journal Article IEEE International Conference on Image Processing · December 1, 1998 In this paper we describe a system that is being used for the segmentation of neurons in images obtained from electronic microscopy. These images are extremely noisy, and ordinary active contours techniques detect spurious objects and fail to detect the ne ... Cite

LOCO-I lossless image compression algorithm: Principles and standardization into JPEG-LS

Journal Article · November 1, 1998 LOCO-I (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and near-lossless compression of continuous-tone images, JPEG-LS. It is conceived as a `low complexity projection' of the universa ... Cite

On the affine heat equation for non-convex curves

Journal Article Journal of the American Mathematical Society · January 1, 1998 Full text Cite

Affine-Invariant Distances, Envelopes and Symmetry Sets

Journal Article Geometriae Dedicata · January 1, 1998 Affine invariant symmetry sets of planar curves are introduced and studied in this paper. Two different approaches are investigated. The first one is based on affine invariant distances, and defines the symmetry set as the closure of the locus of points on ... Full text Cite

Robust anisotropic diffusion.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 1998 Relations between anisotropic diffusion and robust statistics are described in this paper. Specifically, we show that anisotropic diffusion can be seen as a robust estimation procedure that estimates a piecewise smooth image from a noisy input image. The " ... Full text Cite

Introduction to the special issue on partial differential equations and geometry-driven diffusion in image processing and analysis.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 1998 Full text Cite

Anisotropic smoothing of posterior probabilities

Journal Article IEEE International Conference on Image Processing · December 1, 1997 Recently, we proposed an efficient image segmentation technique that anisotropically smoothes the homogeneous posterior probabilities before independent pixelwise MAP classification is carried out. In this paper, we develop the mathematical theory underlyi ... Cite

Shape preserving local contrast enhancement

Journal Article IEEE International Conference on Image Processing · December 1, 1997 A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by com ... Cite

Robust anisotropic diffusion and sharpening of scalar and vector images

Journal Article IEEE International Conference on Image Processing · December 1, 1997 Relations between anisotropic diffusion and robust statistics are described in this paper. We show that anisotropic diffusion can be seen as a robust estimation procedure that estimates a piecewise smooth image from a noisy input image. The `edge-stopping' ... Cite

Creating connected representations of cortical gray matter for functional MRI visualization.

Journal Article IEEE transactions on medical imaging · December 1997 We describe a system that is being used to segment gray matter from magnetic resonance imaging (MRI) and to create connected cortical representations for functional MRI visualization (fMRI). The method exploits knowledge of the anatomy of the cortex and in ... Full text Cite

Minimal surfaces based object segmentation

Journal Article IEEE Transactions on Pattern Analysis and Machine Intelligence · December 1, 1997 A geometric approach for 3D object segmentation and representation is presented. The segmentation is obtained by deformable surfaces moving towards the objects to be detected in the 3D image. The model is based on curvature motion and the computation of su ... Full text Cite

A subspace reverse-correlation technique for the study of visual neurons.

Journal Article Vision research · September 1997 A new discrete-time reverse-correlation scheme for the study of visual neurons is proposed. The visual stimulus is generated by drawing with uniform probability, at each refresh time, an image from a finite set S of orthonormal images. We show that if the ... Full text Cite

Les Editions de Minuit 1942-1955. Le devoir d'insoumission

Journal Article Le Mouvement social · July 1997 Full text Cite

Histogram Modification via Differential Equations

Journal Article Journal of Differential Equations · April 10, 1997 The explicit use of partial differential equations (PDEs) in image processing became a major research topic in the past years. In this work we present a framework for histogram (pixel-value distribution) modification via ordinary and partial differential e ... Full text Cite

Shape preserving local histogram modification

Journal Article · April 1, 1997 A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by com ... Cite

Constant affine velocity predicts the 1/3 power law of planar motion perception and generation.

Journal Article Vision research · February 1997 Numerous studies have shown that the power of 1/3 is important in relating Euclidean velocity to radius of curvature (R) in the generation and perception of planar movement. Although the relation between velocity and curvature is clear and very intuitive, ... Full text Cite

Robust anisotropic diffusion: Connections between robust statistics, line processing, and anisotropic diffusion

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 1997 Relations between anisotropic diffusion and robust statistics are described in this paper. We show that anisotropic diffusion can be seen as a robust estimation procedure that estimates a piecewise smooth image from a noisy input image. The "edge-stopping" ... Full text Cite

Geodesic Active Contours

Journal Article International Journal of Computer Vision · January 1, 1997 A novel scheme for the detection of object boundaries is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, allowing the simultaneou ... Full text Cite

Contrast Enhancement via Image Evolution Flows

Journal Article Graphical Models and Image Processing · January 1, 1997 A framework for contrast enhancement via image evolution flows and variational formulations is introduced in this paper. First, an algorithm for histogram modification via image evolution equations is presented. We show that the image histogram can be modi ... Full text Cite

Color Snakes

Journal Article Computer Vision and Image Understanding · January 1, 1997 A framework for object segmentation in vector-valued images is presented in this paper. The first scheme proposed is based on geometric active contours moving toward the objects to be detected in the vector-valued image. Object boundaries are obtained as g ... Full text Cite

Minimal surfaces: A geometric three dimensional segmentation approach

Journal Article Numerische Mathematik · January 1, 1997 A novel geometric approach for three dimensional object segmentation is presented. The scheme is based on geometric deformable surfaces moving towards the objects to be detected. We show that this model is related to the computation of surfaces of minimal ... Full text Cite

Invariant geometric evolutions of surfaces and volumetric smoothing

Journal Article SIAM Journal on Applied Mathematics · January 1, 1997 The study of geometric flows for smoothing, multiscale representation, and analysis of two- and three-dimensional objects has received much attention in the past few years. In this paper, we first survey the geometric smoothing of curves and surfaces via g ... Full text Cite

Anatomically consistent segmentation of the human cortex for functional MRI visualization

Journal Article HP Laboratories Technical Report · January 1, 1997 We describe a system that is being used to segment gray matter from volumetric representations of the human cortex obtained using magnetic resonance imaging. The segmentation algorithm identifies gray matter voxels and computes their connectivity. The meth ... Cite

A Subdivision Scheme for Continuous-Scale B-Splines and Affine-Invariant Progressive Smoothing

Journal Article Journal of Mathematical Imaging and Vision · January 1, 1997 Multiscale representations and progressive smoothing constitute an important topic in different fields as computer vision, CAGD, and image processing. In this work, a multiscale representation of planar shapes is first described. The approach is based on c ... Full text Cite

'Alea' - French - Kjaerstad,J

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 1997 Cite

The Vichy government - French - Baruch,MO

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 1997 Cite

Vector (self) snakes: A geometric framework for color, texture, and multiscale image segmentation

Journal Article IEEE International Conference on Image Processing · December 1, 1996 A partial-differential-equations (PDE') based geometric framework for segmentation of vector-valued images is described in this paper. The first component of this approach is based on two dimensional geometric active contours deforming from their initial p ... Cite

From active contours to anisotropic diffusion: Connections between basic PDE's in image processing

Journal Article IEEE International Conference on Image Processing · December 1, 1996 In this paper, we present mathematical and qualitative relations between a number of partial differential equations frequently used in image processing and computer vision. We show for example that classical active contours introduced for object detection ... Cite

Affine invariant distances, envelopes and symmetry sets

Journal Article HP Laboratories Technical Report · June 1, 1996 This work aims to present and study symmetry sets which are affine invariant. Two alternatives to affine invariant symmetry sets are presented. The first one is based on a definition of affine invariant distances. The second approach is based on affine bit ... Cite

A simple reverse correlation scheme for the identification of visual neurons

Journal Article Investigative Ophthalmology and Visual Science · February 15, 1996 Purpose. The standard approach to generalize the white-noise technique to neural systems with multiple inputs consists of using a spatio-temporal white noise stimulus. A drawback of this methodology is that the input space to be explored is huge, and only ... Cite

Anisotropic diffusion of multivalued images with applications to color filtering.

Journal Article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 1996 A general framework for anisotropic diffusion of multivalued images is presented. We propose an evolution equation where, at each point in time, the directions and magnitudes of the maximal and minimal rate of change in the vector-image are first evaluated ... Full text Cite

Geometric approach to segmentation and analysis of 3D medical images

Journal Article Proceedings of the Workship on Mathematical Methods in Biomedical Image Analysis · January 1, 1996 A geometric scheme for detecting, representing, and measuring 3D medical data is presented. The technique is based on deforming 3D surfaces, represented via level-sets, towards the medical objects, according to intrinsic geometric measures of the data. The ... Cite

Affine invariant detection: edges, active contours, and segments

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · January 1, 1996 In this paper we undertake a systematic investigation of affine invariant object detection. Edge detection is first presented from the point of view of the affine invariant scale-space obtained by curvature based motion of the image level-sets. In this cas ... Full text Cite

Anisotropic diffusion of color images

Journal Article Proceedings of SPIE - The International Society for Optical Engineering · January 1, 1996 A new approach for anisotropic diffusion processing of color images is proposed. The main idea of the algorithm is to facilitate diffusion of the image in the direction parallel to color edges. The direction of maximal and minimal color change at each poin ... Cite

Vector-valued active contours

Journal Article Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · January 1, 1996 A framework for object segmentation in vector-valued images is presented in this paper. The first scheme proposed is based on geometric active contours moving towards the objects to be detected in the vector-valved image. Objects boundaries are obtained as ... Full text Cite

LOCO-I: a low complexity, context-based, lossless image compression algorithm

Journal Article Data Compression Conference Proceedings · January 1, 1996 LOCO-I (LOw COmplexity LOssless COmpression for Images) is a novel lossless compression algorithm for continuous-tone images which combines the simplicity of Huffman coding with the compression potential of context models, thus 'enjoying the best of both w ... Cite

Three dimensional object modeling via minimal surfaces

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 1996 A novel geometric approach for 3D object segmentation and representation is presented. The scheme is based on geometric deformable surfaces moving towards the objects to be detected. We show that this model is equivalent to the computation of surfaces of m ... Full text Cite

Boarded-up windows - French - Vona,A

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 1996 Cite

Dans les soulevements - French - Vargaftig,B

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 1996 Cite

Vichy and femininity - Political sociology of the order of bodies - French - MuelDreyfus,F

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 1996 Cite

A simple reverse correlation scheme for the identification of visual neurons

Journal Article INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · 1996 Cite

Intellectuals in 19th-century Europe - Comparative history - French - Charle,C

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 1996 Cite

For reasons of literature - French literature during the occupation 1940-1944

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 1996 Cite

Mircea Eliade and the amnesia of history

Journal Article ACTES DE LA RECHERCHE EN SCIENCES SOCIALES · 1996 Cite

Geometric partial differential equations in image analysis: past, present, and future

Journal Article IEEE International Conference on Image Processing · December 1, 1995 In this paper I briefly discuss the main characteristics of the use of partial differential equations and curve/surface evolution theory in computer vision and image processing. I will describe the approach and its main advantages, together with a number o ... Cite

Histogram modification via partial differential equations

Journal Article IEEE International Conference on Image Processing · December 1, 1995 An algorithm for histogram modification via image evolution equations is first presented in this paper. We show that the image histogram can be modified to achieve any given distribution as the steady state solution of this partial differential equation. W ... Cite

An image evolution approach for contrast enhancement

Conference Proceedings of SPIE - The International Society for Optical Engineering · September 1, 1995 An algorithm for histogram modification via image evolution equations is first presented in this paper. We show that the image histogram can be modified to achieve any given distribution as the steady state solution of this partial differential equation. W ... Full text Cite

Simultaneous contrast improvement and denoising via diffusion related equations

Conference Proceedings of SPIE - The International Society for Optical Engineering · August 11, 1995 The explicit use of partial differential equations (PDE's) in image processing became a major topic of study in the last years. In this work we present an algorithm for histogram modification via PDE's. We show that the histogram can be modified to achieve ... Full text Cite

Object detection and measurements in medical images via geodesic deformable contours

Conference Proceedings of SPIE - The International Society for Optical Engineering · August 11, 1995 A novel scheme for performing detection and measurements in medical images is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, all ... Full text Cite

Litteratures de l'ombre

Journal Article Le Mouvement social · April 1995 Full text Cite

The ubiquitous ellipse

Journal Article Acta Applicandae Mathematicae · February 1, 1995 We discuss three different affine invariant evolution processes for smoothing planar curves. The first one is derived from a geometric heat-type flow, both the initial and the smoothed curves being differentiable. The second smoothing process is obtained f ... Full text Cite

Evolutions of planar polygons

Journal Article International Journal of Pattern Recognition and Artificial Intelligence · January 1, 1995 Evolutions of closed planar polygons are studied in this work. In the first part of the paper, the general theory of linear polygon evolutions is presented, and two specific problems are analyzed. The first one is a polygonal analog of a novel affine-invar ... Full text Cite

Shortening three-dimensional curves via two-dimensional flows

Journal Article Computers and Mathematics with Applications · January 1, 1995 In this paper, a curve evolution approach for the computation of geodesic curves on 3D surfaces is presented. The algorithm is based on deforming, via the curve shortening flow, an arbitrary initial curve ending at two given surface points. The 3D curve sh ... Full text Cite

Evolutions of planar polygons

Journal Article International Journal of Pattern Recognition and Artificial Intelligence · 1995 Evolutions of closed planar polygons are studied in this work. In the first part of the paper, the general theory of linear polygon evolutions is presented, and two specific problems are analyzed. The first one is a polygonal analog of a novel affine-invar ... Cite

Area and Length Preserving Geometric Invariant Scale-Spaces

Journal Article IEEE Transactions on Pattern Analysis and Machine Intelligence · January 1, 1995 In this paper, area preserving multi-scale representations of planar curves are described. This allows smoothing without shrinkage at the same time preserving all the scale-space properties. The representations are obtained deforming the curve via geometri ... Full text Cite

Geodesic active contours

Journal Article IEEE International Conference on Computer Vision · January 1, 1995 A novel scheme for the detection of object boundaries is presented. The technique is based on active contours deforming according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, allowing the simultaneous detec ... Cite

CONSTANT AFFINE VELOCITY AND THE GENERATION AND PERCEPTION OF UNIFORM PLANAR MOTION

Journal Article INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · 1995 Cite

Geometric invariant signatures and flows: Classification and applications in image analysis

Conference Proceedings of SPIE - The International Society for Optical Engineering · October 25, 1994 Based on modern invariant theory and symmetry groups, a high level way of defining invariant geometricflows for a given Lie group is described in this work. We then analyze in more detail different subgroups ofthe projective group, which are of special int ... Full text Cite

On affine plane curve evolution

Journal Article Journal of Functional Analysis · January 1, 1994 An affine invariant curve evolution process is presented in this work. The evolution studied is the affine analogue of the Euclidean Curve Shortening flow. Evolution equations, for both affine and Euclidean invariants, are developed. An affine version of t ... Full text Cite

Morphological image coding based on a geometric sampling theorem and a modified skeleton representation

Journal Article Journal of Visual Communication and Image Representation · January 1, 1994 A new approach for gray-level image coding using binary morphological operations on the image bit-planes is presented. This approach is based on a Geometric Sampling Theorem (GST), and on a modified morphological skeleton. The theorem, which is proved in t ... Full text Cite

Experiments on geometric image enhancement

Conference Proceedings - International Conference on Image Processing, ICIP · January 1, 1994 In this paper we experiments with geometric algorithms for image smoothing. Examples are given for MRI and ATR data. We emphasize experiments with the affine invariant geometric smoother or affine heat equation, originally developed for binary shape smooth ... Full text Cite

Area and length preserving geometric invariant scale-spaces

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 1994 In this paper, area preserving geometric multi-scale representations of planar curves are described. This allows geometric smoothing without shrinkage at the same time preserving all the scale-space properties. The representations are obtained deforming th ... Full text Cite

CLASSIFICATION AND UNIQUENESS OF INVARIANT GEOMETRIC FLOWS

Journal Article COMPTES RENDUS DE L ACADEMIE DES SCIENCES SERIE I-MATHEMATIQUE · 1994 Cite

The ubiquitous ellipse

Conference CURVES AND SURFACES IN GEOMETRIC DESIGN · 1994 Cite

Affine invariant scale-space

Journal Article International Journal of Computer Vision · August 1, 1993 A new affine invariant scale-space for planar curves is presented in this work. The scale-space is obtained from the solution of a novel nonlinear curve evolution equation which admits affine invariant solutions. This flow was proved to be the affine analo ... Full text Cite

Formulating invariant heat-type curve flows

Journal Article Proceedings of SPIE - The International Society for Optical Engineering · January 1, 1993 We describe a geometric method for formulating planar curve evolution equations which are invariant under a certain transformation group. The approach is based on concepts from the classical theory of differential invariants. The flows we obtain are geomet ... Cite

Implementing continuous-scale morphology via curve evolution

Journal Article Pattern Recognition · January 1, 1993 A new approach to digital implementation of continuous-scale mathematical morphology is presented. The approach is based on discretization of evolution equations associated with continuous multiscale morphological operations. Those equations, and their cor ... Full text Cite

IMAGE SMOOTHING BASED ON AN AFFINE INVARIANT CURVE FLOW

Conference PROCEEDINGS OF THE TWENTY-SEVENTH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS · 1993 Cite

On Invariant Curve Evolution and Image Analysis

Journal Article INDIANA UNIVERSITY MATHEMATICS JOURNAL · 1993 Full text Link to item Cite

Morphological image coding via bit-plane decomposition and a new skeleton representation

Conference Proceedings - 17th Convention of Electrical and Electronics Engineers in Israel, EEIS 1991 · January 1, 1991 A new approach for image coding based on bit-plane decomposition and binary morphological operations is presented. The image is first processed by an errordiffusion technique in order to reduce the number of bitplanes without a significant quality degradat ... Full text Cite

Fiber sorting in the fasciculus gracilis of squirrel monkeys.

Journal Article Experimental neurology · November 1970 Full text Cite