Lawrence Carin
Professor of Electrical and Computer Engineering
Lawrence Carin earned the BS, MS, and PhD degrees in electrical engineering at the University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989 he joined the Electrical Engineering Department at Polytechnic University (Brooklyn) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical and Computer Engineering (ECE) Department at Duke University, where he is now a Professor. He was ECE Department Chair from 2011-2014, the Vice Provost for Research from 2014-2019, and since 2019 he has served as Duke's Vice President for Research. From 2003-2014 he held the William H. Younger Distinguished Professorship, and since 2018 he has held the James L. Meriam Distinguished Professorship. Dr. Carin's research focuses on machine learning (ML), artificial intelligence (AI) and applied statistics. He publishes widely in the main ML/AI conferences, and he has also engaged in translation of research to practice. He was co-founder of the small business Signal Innovations Group, which was acquired by BAE Systems in 2014, and in 2017 he co-founded the company Infinia ML. He is an IEEE Fellow.
Current Research Interests
Applied statistics and machine learning
Current Appointments & Affiliations
- Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2001
- Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2018
- Member of the Duke Clinical Research Institute, Duke Clinical Research Institute, Institutes and Centers 2017
Contact Information
- 119 Allen Building, Durham, NC 27708
- Box 90291, Durham, NC 27708-0291
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lcarin@ee.duke.edu
(919) 681-6436
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http://www.ee.duke.edu/~lcarin
- Background
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Education, Training, & Certifications
- Ph.D., University of Maryland, College Park 1989
- M.Sc.Eng., University of Maryland, College Park 1986
- B.S.E., University of Maryland, College Park 1985
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Previous Appointments & Affiliations
- Professor of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2018 - 2021
- Vice Provost for Research, Institutes and Provost's Academic Units, Duke University 2014 - 2019
- James L. Meriam Distinguished Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2018 - 2019
- Chair of the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2011 - 2014
- William H. Younger Distinguished Professor of Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2003 - 2013
- Associate Professor of Electrical Engineering, Electrical and Computer Engineering, Pratt School of Engineering 1996 - 2000
- Associate Professor, Electrical and Computer Engineering, Pratt School of Engineering 1995 - 1996
- Associate Research Professor of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 1995
- Recognition
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In the News
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JAN 20, 2021 Pratt School of Engineering -
JAN 15, 2021 -
OCT 12, 2020 -
MAY 7, 2020 -
OCT 24, 2019 -
AUG 7, 2019 -
OCT 2, 2018 -
SEP 28, 2018 -
JUL 9, 2018 -
MAR 14, 2017 -
JAN 6, 2016 Triangle Business Journal -
OCT 2, 2015 -
MAR 4, 2015 WRAL Tech Wire -
MAY 23, 2014 Durham Herald-Sun -
MAY 20, 2014
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Awards & Honors
- Expertise
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Global Scholarship
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Teaching
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- Research
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Selected Grants
- AI Institute: Athena: AI-Driven Next-generation Networks at the Edge awarded by National Science Foundation 2021 - 2026
- Duke-UNC Collaborative Pediatric Clinical Pharmacology Postdoctoral Training Program awarded by National Institutes of Health 2021 - 2026
- Mapping Epigenetic Memory of Exposure New To Observe (MEMENTO) awarded by Defense Advanced Research Projects Agency 2019 - 2024
- Microsoft Investigator Fellowship awarded by Microsoft Research 2018 - 2023
- Postdoctoral Training in Genomic Medicine Research awarded by National Institutes of Health 2017 - 2023
- Adversarial Learning for Nonproliferation Applications awarded by Triad National Security, LLC 2018 - 2022
- RI: Small: Feature Encoding for Reinforcement Learning awarded by National Science Foundation 2018 - 2022
- Medical Scientist Training Program awarded by National Institutes of Health 1997 - 2022
- NSF Convergence Accelerator Track D: A Trusted Integrative Model and Data Sharing Platform for Accelerating AI-Driven Health Innovation awarded by National Science Foundation 2020 - 2022
- An Integrated Nonparametric Bayesian and Deep Neural Network Framework for Biologically-Inspired Lifelong Learning awarded by Defense Advanced Research Projects Agency 2018 - 2022
- Deep Generative Probabilistic Models for Synthetic Data Generation awarded by Samsung Semiconductor, Inc. 2020 - 2022
- Deep learning-based image analysis for assessing real-time smoking risk awarded by National Institutes of Health 2018 - 2021
- Bioinformatics and Computational Biology Training Program awarded by National Institutes of Health 2005 - 2021
- QuBBD: Deep Poisson Methods for Biomedical Time-to-Event and Longitudinal Data awarded by National Institutes of Health 2017 - 2021
- Multi-Source Activity Graph Latent Uncovering & Merging (MAGNUM) awarded by Lockheed Martin Corporation 2017 - 2021
- Deep Learning for Sonar awarded by Office of Naval Research 2018 - 2020
- GP Kernels for Cross-Spectrum Analysis of Dynamic Networks awarded by Office of Naval Research 2017 - 2020
- 2019 LM ATL IRAD collaboration awarded by Lockheed Martin Corporation 2018 - 2019
- Nuclear Science and Nuclear Nonproliferation Research awarded by University of Michigan 2014 - 2019
- Nonparametric Bayes Methods for Big Data in Neuroscience awarded by National Institutes of Health 2014 - 2019
- Enabling Stress Resistance awarded by National Institutes of Health 2012 - 2018
- Reinforced Learning for Decentralized Autonomous Agents awarded by Office of Naval Research 2014 - 2018
- EMSW21-RTG: Geometric, Topological and Statistical Methods for Analyzing Massive Datasets awarded by National Science Foundation 2011 - 2018
- RTI University Scholar Program awarded by Research Triangle Institute International 2017 - 2018
- Exploiting Low-Dimensional Structure for Accerlerated Computations awarded by Office of Naval Research 2014 - 2018
- Bayesian Nonparametric Models to Represent Knowledge and Uncertainty for Decentralizing Planning awarded by Massachusetts Institute of Technology 2011 - 2018
- Computational Strategies for High Dimensional and Imprecise Data awarded by University of California - Los Angeles 2012 - 2017
- EAGER-DynamicData: Principled and Scalable Probabilistic Frameworks for Dynamic Multi-modal Data awarded by National Science Foundation 2015 - 2017
- Accenture and Duke University Analytics Research Program awarded by Accenture plc 2015 - 2017
- Feature Learning for Distributed Analysis of Massive Heterogeneous Data awarded by Office of Naval Research 2014 - 2017
- Peer-Based Duke-IITGN Research Partnership awarded by Research Triangle Institute International 2015 - 2016
- Compressive HSI Measurements for ATR awarded by National Geospatial-Intelligence Agency 2009 - 2016
- Workshop: Sensing and Analysis of High-Dimensional Data awarded by Army Research Office 2015 - 2016
- Mathematics of Low Dimensional Represenations for Design awarded by Office of Naval Research 2011 - 2016
- Validation of the host transcription diagnostic for prediction of incipient respiratory viral infection awarded by Defense Advanced Research Projects Agency 2014 - 2016
- Workshop: Sensing and Analysis of High-Dimensional Data awarded by Office of Naval Research 2015
- Statistical Methods in Active Transfer Learning awarded by Office of Naval Research 2011 - 2015
- X-Ray Scatter and Phase Imaging for Explosive Detection awarded by US Department of Homeland Security 2011 - 2015
- Opportunistic Sensing awarded by Rice University 2009 - 2015
- Compressive Sensing & Deep Learning for Analysis of Hyperspectral Imagery awarded by Department of Energy 2011 - 2015
- Future States Processing Support awarded by North Carolina State University 2014 - 2015
- LAS Prime Contract H98230-13-D-0054, Deliver Order 0002, The Future States Processing awarded by North Carolina State University 2013 - 2014
- Workshop: Sensing and Analysis of High-Dimensional Data awarded by Army Research Office 2013 - 2014
- Nonparametric Bayesian Statistics for Adaptive Sensing awarded by Army Research Office 2011 - 2014
- Learning, Reasoning, & Information Integration for Naval Sensing awarded by Office of Naval Research 2011 - 2014
- Statistical Machine Learning for Underwater Sensing awarded by Office of Naval Research 2011 - 2014
- Workshop: Sensing and Analysis of High-Dimensional Data awarded by Office of Naval Research 2013
- Statistical Signal Processing for Remote Sensing of Targets: Proposal for Terrestrial Science Program awarded by Army Research Office 2009 - 2013
- Integration of Advanced Statistical Analysis Tools and Geophysical Modeling awarded by Strategic Environmental Research & Development Program 2009 - 2013
- Transfer and Active Learning for Intent Recognition awarded by Office of Naval Research 2008 - 2012
- Exploitation of Physics and Statistics in Networked Compressive Sensing awarded by Office of Naval Research 2008 - 2012
- Workshop on Sensing and Analysis of High-Dimensional Data awarded by Air Force Office of Scientific Research 2011 - 2012
- Non-Parametric Bayesian Analysis of Heterogeneous Data awarded by Air Force Office of Scientific Research 2009 - 2011
- Workshop on Sensing and Analysis of High-Dimensional Data awarded by Office of Naval Research 2011
- Statistical Signal Processing For Landmine and Ordnance Detection and Discrimination awarded by Army Research Office 2006 - 2011
- Information Processing for Counter-IED & Counter-Insurgency awarded by Army Research Office 2008 - 2011
- Enhancing Underwater Target Classification via Semi-Supervised Multitask Learning awarded by Office of Naval Research 2008 - 2010
- Standoff Inverse Analysis and Manipulation of Electronics Systems (SIAMES) awarded by Army Research Office 2005 - 2010
- Adaptive Multi-Sensor Interrogation of Targets Embedded in Complex Environments awarded by Air Force Office of Scientific Research 2007 - 2009
- RF Time-Reversal Methods for Imaging & Detection awarded by Office of Naval Research 2006 - 2009
- Joint Relevance Vector Machine for Broadband Sonar Data Classification awarded by Office of Naval Research 2006 - 2009
- Advanced Wavelet-Based Analysis of Hyper-Spectral Imagery awarded by Department of Energy 2006 - 2009
- Workshop on Advanced Techniques in Automatic Target Recognition and Sensor Processing awarded by Army Research Office 2008 - 2009
- Statistical and Adaptive Signal Processing for UXO Discrimination for Next-Generation Sensor Data awarded by Strategic Environmental Research & Development Program 2005 - 2009
- Scalable Development of Advanced Frequency and Time Domain EM Modeling Software awarded by Army Research Office 2004 - 2008
- Statistical Signal Processing and Modeling for Demining awarded by Army Research Office 2000 - 2008
- Adaptive Statistical Methods for Detection and Classification of Targets in General Environments awarded by Office of Naval Research 2005 - 2007
- Semi-Supervised, Multi-Sensor Learning for Underwater Sensing awarded by Office of Naval Research 2005 - 2007
- Adaptive Multi-Modality Inverse Scattering for Targets Embedded in General Stochastic Environments awarded by Army Research Office 2002 - 2007
- Time-Reversal Imaging for Detection and Classification on MCM Targets: Gibbs Sampling and the Relevance Vector Machine awarded by Office of Naval Research 2005 - 2006
- Analysis and Modeling of GPR Sensors awarded by Army Research Office 2003 - 2006
- Modeling and Signal Processing for EMI Sensing of Landmines, In Support of AMD System (supplement) awarded by Office of Naval Research 2004 - 2006
- Hybrid Computational Electromagnetics for Simulating Radar Scattering from a Ship over a Rough Sea Surface awarded by Office of Naval Research 2002 - 2006
- Integration of Duke NIITEK Technology for a Prototype GPR-QR System awarded by Office of Naval Research 2004 - 2006
- Development of a Dielectric-Rod Antenna System for Coupling with QR Landmine Sensing awarded by Office of Naval Research 2003 - 2005
- New Techniques for Detection and Identification of Submerged Elastic Targets awarded by Office of Naval Research 2001 - 2005
- Physics-Based Modeling and Signal Processing for Synthetic Aperture Radar Detection of Former Bombing Ranges and Burial Pits awarded by Strategic Environmental Research & Development Program 2002 - 2005
- ICA Feature Extraction and SVM Classification of FLIR Imagery awarded by United States Army Medical Research and Materiel Command 2002 - 2005
- Multi-Sensor Physics-Based Classification of Unexploded Ordnance awarded by Army Research Office 2002 - 2005
- HSTAMIDS Radar-System Modeling: Peformance Prediction and Feasibility of Integration with the QR/EMI System awarded by Office of Naval Research 2002 - 2005
- Statistical Methods for Detection and Classification of Targets in General Environments awarded by Office of Naval Research 1996 - 2004
- Time-Reversal Imaging and Bayesian Classification for Detection of MCM Targets in a Water Channel awarded by Office of Naval Research 2003 - 2004
- Well-conditioned Multi-level Fast Multipole Modeling of Military Communication Channels awarded by Army Research Office 2001 - 2004
- Software Development for Electromagnetic Sensing of Surface and Subsurface Targets: Simulation and Signal Processing awarded by Army Research Office 2000 - 2003
- Multidisciplinary Research for Demining awarded by Army Research Office 1996 - 2002
- Multi-Level Fast Multipole Algorithm (MLFMA) with Application to FOPEN Radar Scattering Problems awarded by Army Research Office 2001 - 2002
- FLIR Image Classification Using Hidden Markov Trees, With Comparisons to More-Traditional Algorithms awarded by Army Research Office 2001
- Physics-based Processing for Underwater Acoustic, SAR and ISAR Scattering Data awarded by Office of Naval Research 1998 - 2001
- Statistical Signal Processing for Demining: Experimental Verification awarded by Army Research Office 1999 - 2000
- Fast Multipole Modeling of Land Mines in the Presence of Naturally Occurring Clutter awarded by Army Research Office 1999 - 2000
- Multilevel Fast Multipole Algorithm with Application to Foliage Penetrating (FOPEN) Radar awarded by Army Research Office 1999 - 2000
- Matching Pursuits and Hidden Markov Models for Processing IR Imagery awarded by Army Research Office 1999 - 2000
- MRTD for Terrestrial Propagation and Rough-Surface Scattering awarded by Army Research Office 1999 - 2000
- Efficient Electromagnetic Scattering Models for UWB Synthetic Aperture Radar Calibration awarded by Army Research Office 1999
- UWB SAR for Substance-Target Identification awarded by Army Research Office 1998 - 1999
- Multidisciplinary Research for Demining awarded by Army Research Office 1996 - 1999
- Modeling and ATR for Foliage and Ground Penetrating Radar awarded by Army Research Office 1996 - 1999
- Model-Based Time-Frequency Processing for Underwater Acoustic & SAR/ISAR Scattering Data awarded by Office of Naval Research 1996 - 1998
- Model-based Time-frequency Processing for Underwater Acoustic and SAR/ISAR Scattering Data awarded by Office of Naval Research 1996 - 1998
- Modelling and ATR for Foliage and Ground Penetrating Radar awarded by Army Research Office 1996 - 1997
- Signal Processing for Detecting and Identifying Submerged Targets Near a Rough Surface Bottom awarded by Office of Naval Research 1996 - 1997
- Short-pulse Phenomenology: Signal Processing Algorithms for Extracting Information from Measured Data awarded by National Science Foundation 1995 - 1996
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Mariottoni, Eduardo B., Shounak Datta, Leonardo S. Shigueoka, Alessandro A. Jammal, Ivan M. Tavares, Ricardo Henao, Lawrence Carin, and Felipe A. Medeiros. “Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT.” Ophthalmology. Glaucoma 6, no. 3 (May 2023): 228–38. https://doi.org/10.1016/j.ogla.2022.11.004.Full Text
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Chapfuwa, Paidamoyo, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen J. Chandross, Michael J. Pencina, Lawrence Carin, and Ricardo Henao. “Calibration and Uncertainty in Neural Time-to-Event Modeling.” Ieee Trans Neural Netw Learn Syst 34, no. 4 (April 2023): 1666–80. https://doi.org/10.1109/TNNLS.2020.3029631.Full Text Link to Item
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Li, Z., Y. Cong, X. Chen, J. Qi, J. Sun, T. Yan, H. Yang, et al. “Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors.” Iscience 26, no. 1 (January 20, 2023). https://doi.org/10.1016/j.isci.2022.105872.Full Text
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Xu, Hongteng, Jiachang Liu, Dixin Luo, and Lawrence Carin. “Representing Graphs via Gromov-Wasserstein Factorization.” Ieee Transactions on Pattern Analysis and Machine Intelligence 45, no. 1 (January 2023): 999–1016. https://doi.org/10.1109/tpami.2022.3153126.Full Text
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Zhan, X., Y. Li, X. Dong, X. Liang, Z. Hu, and L. Carin. “elBERto: Self-supervised commonsense learning for question answering.” Knowledge Based Systems 258 (December 22, 2022). https://doi.org/10.1016/j.knosys.2022.109964.Full Text
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Zhang, Hao, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, and Lawrence Carin. “Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2.” Ieee Trans Neural Netw Learn Syst PP (October 18, 2022). https://doi.org/10.1109/TNNLS.2022.3210975.Full Text Link to Item
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Draelos, Rachel Lea, and Lawrence Carin. “Explainable multiple abnormality classification of chest CT volumes.” Artificial Intelligence in Medicine 132 (October 2022): 102372. https://doi.org/10.1016/j.artmed.2022.102372.Full Text
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Xia, Meng, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, and Ricardo Henao. “Lesion identification and malignancy prediction from clinical dermatological images.” Sci Rep 12, no. 1 (September 23, 2022): 15836. https://doi.org/10.1038/s41598-022-20168-w.Full Text Link to Item
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Dov, David, Shahar Z. Kovalsky, Qizhang Feng, Serge Assaad, Jonathan Cohen, Jonathan Bell, Ricardo Henao, Lawrence Carin, and Danielle Elliott Range. “Use of Machine Learning-Based Software for the Screening of Thyroid Cytopathology Whole Slide Images.” Arch Pathol Lab Med 146, no. 7 (July 1, 2022): 872–78. https://doi.org/10.5858/arpa.2020-0712-OA.Full Text Link to Item
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Dov, David, Serge Assaad, Ameer Syedibrahim, Jonathan Bell, Jiaoti Huang, John Madden, Rex Bentley, et al. “A Hybrid Human-Machine Learning Approach for Screening Prostate Biopsies Can Improve Clinical Efficiency Without Compromising Diagnostic Accuracy.” Arch Pathol Lab Med 146, no. 6 (June 1, 2022): 727–34. https://doi.org/10.5858/arpa.2020-0850-OA.Full Text Link to Item
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Zhou, L., X. Meng, Y. Huang, K. Kang, J. Zhou, Y. Chu, H. Li, et al. “An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.” Nature Machine Intelligence 4, no. 5 (May 1, 2022): 494–503. https://doi.org/10.1038/s42256-022-00483-7.Full Text
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Wisely, C Ellis, Dong Wang, Ricardo Henao, Dilraj S. Grewal, Atalie C. Thompson, Cason B. Robbins, Stephen P. Yoon, et al. “Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging.” Br J Ophthalmol 106, no. 3 (March 2022): 388–95. https://doi.org/10.1136/bjophthalmol-2020-317659.Full Text Open Access Copy Link to Item
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Hao, W., N. Mehta, K. J. Liang, P. Cheng, M. El-Khamy, and L. Carin. “WAFFLe: Weight Anonymized Factorization for Federated Learning.” Ieee Access 10 (January 1, 2022): 49207–18. https://doi.org/10.1109/ACCESS.2022.3172945.Full Text
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Luo, D., H. Xu, and L. Carin. “Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning.” Ieee Transactions on Pattern Analysis and Machine Intelligence, January 1, 2022. https://doi.org/10.1109/TPAMI.2022.3222569.Full Text
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Wong, Samantha C., William Ratliff, Meng Xia, Christine Park, Mark Sendak, Suresh Balu, Ricardo Henao, Lawrence Carin, and Meenal K. Kheterpal. “Use of convolutional neural networks in skin lesion analysis using real world image and non-image data.” Front Med (Lausanne) 9 (2022): 946937. https://doi.org/10.3389/fmed.2022.946937.Full Text Link to Item
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Zhang, Hao, Chaojie Wang, Zhengjue Wang, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, and Lawrence Carin. “Learning Hierarchical Document Graphs From Multilevel Sentence Relations.” Ieee Trans Neural Netw Learn Syst PP (September 30, 2021). https://doi.org/10.1109/TNNLS.2021.3113297.Full Text Link to Item
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Carin, Lawrence. “In Reply to Prashar and to Savage.” Academic Medicine : Journal of the Association of American Medical Colleges 96, no. 9 (September 2021): 1230. https://doi.org/10.1097/acm.0000000000004193.Full Text
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Meireles, Ozanan R., Guy Rosman, Maria S. Altieri, Lawrence Carin, Gregory Hager, Amin Madani, Nicolas Padoy, et al. “SAGES consensus recommendations on an annotation framework for surgical video.” Surgical Endoscopy 35, no. 9 (September 2021): 4918–29. https://doi.org/10.1007/s00464-021-08578-9.Full Text
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Datta, Shounak, Eduardo B. Mariottoni, David Dov, Alessandro A. Jammal, Lawrence Carin, and Felipe A. Medeiros. “RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure.” Scientific Reports 11, no. 1 (June 2021): 12562. https://doi.org/10.1038/s41598-021-91493-9.Full Text
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Draelos, Rachel Lea, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, and Lawrence Carin. “Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes.” Med Image Anal 67 (January 2021): 101857. https://doi.org/10.1016/j.media.2020.101857.Full Text Link to Item
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Chen, L., D. Wang, Z. Gan, J. Liu, R. Henao, and L. Carin. “Wasserstein contrastive representation distillation.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, January 1, 2021, 16291–300. https://doi.org/10.1109/CVPR46437.2021.01603.Full Text
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Dov, David, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, and Lawrence Carin. “Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images.” Medical Image Analysis 67 (January 2021): 101814. https://doi.org/10.1016/j.media.2020.101814.Full Text Open Access Copy
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Carin, Lawrence. “On Artificial Intelligence and Deep Learning Within Medical Education.” Academic Medicine : Journal of the Association of American Medical Colleges 95, no. 11S Association of American Medical Colleges Learn Serv (November 2020): S10–11. https://doi.org/10.1097/acm.0000000000003630.Full Text
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Ting, Daniel Shu Wei, Lawrence Carin, Victor Dzau, and Tien Y. Wong. “Digital technology and COVID-19.” Nature Medicine 26, no. 4 (April 2020): 459–61. https://doi.org/10.1038/s41591-020-0824-5.Full Text
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Elliott Range, Danielle D., David Dov, Shahar Z. Kovalsky, Ricardo Henao, Lawrence Carin, and Jonathan Cohen. “Application of a machine learning algorithm to predict malignancy in thyroid cytopathology.” Cancer Cytopathol 128, no. 4 (April 2020): 287–95. https://doi.org/10.1002/cncy.22238.Full Text Link to Item
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Mariottoni, Eduardo B., Shounak Datta, David Dov, Alessandro A. Jammal, Samuel I. Berchuck, Ivan M. Tavares, Lawrence Carin, and Felipe A. Medeiros. “Artificial Intelligence Mapping of Structure to Function in Glaucoma.” Transl Vis Sci Technol 9, no. 2 (March 2020): 19. https://doi.org/10.1167/tvst.9.2.19.Full Text Link to Item
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Chapfuwa, P., C. Li, N. Mehta, L. Carin, and R. Henao. “Survival cluster analysis.” Acm Chil 2020 Proceedings of the 2020 Acm Conference on Health, Inference, and Learning, February 4, 2020, 60–68. https://doi.org/10.1145/3368555.3384465.Full Text
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Xu, H., D. Luo, R. Henao, S. Shah, and L. Carin. “Learning autoencoders with relational regularization.” 37th International Conference on Machine Learning, Icml 2020 PartF168147-14 (January 1, 2020): 10507–17.
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Ting, Daniel Shu Wei, Lawrence Carin, and Michael D. Abramoff. “Observations and Lessons Learned From the Artificial Intelligence Studies for Diabetic Retinopathy Screening.” Jama Ophthalmology 137, no. 9 (September 2019): 994–95. https://doi.org/10.1001/jamaophthalmol.2019.1997.Full Text
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Engelhard, Matthew M., Jason A. Oliver, Ricardo Henao, Matt Hallyburton, Lawrence E. Carin, Cynthia Conklin, and F Joseph McClernon. “Identifying Smoking Environments From Images of Daily Life With Deep Learning.” Jama Netw Open 2, no. 8 (August 2, 2019): e197939. https://doi.org/10.1001/jamanetworkopen.2019.7939.Full Text Link to Item
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Chen, C., W. Wang, Y. Zhang, Q. Su, and L. Carin. “A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC.” Science China Information Sciences 62, no. 1 (January 1, 2019). https://doi.org/10.1007/s11432-018-9656-y.Full Text
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Liang, K. J., G. Wang, Y. Li, R. Henao, and L. Carin. “Kernel-based approaches for sequence modeling: Connections to neural methods.” Advances in Neural Information Processing Systems 32 (January 1, 2019).
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Wang, W., C. Tao, Z. Gan, G. Wang, L. Chen, X. Zhang, R. Zhang, Q. Yang, R. Henao, and L. Carin. “Improving textual network learning with variational homophilic embeddings.” Advances in Neural Information Processing Systems 32 (January 1, 2019).
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Carlson, David, and Lawrence Carin. “Continuing progress of spike sorting in the era of big data.” Current Opinion in Neurobiology 55 (2019): 90–96.
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Carin, Lawrence, and Michael J. Pencina. “On Deep Learning for Medical Image Analysis.” Jama 320, no. 11 (September 18, 2018): 1192–93. https://doi.org/10.1001/jama.2018.13316.Full Text Link to Item
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Hultman, Rainbo, Kyle Ulrich, Benjamin D. Sachs, Cameron Blount, David E. Carlson, Nkemdilim Ndubuizu, Rosemary C. Bagot, et al. “Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability.” Cell 173, no. 1 (March 22, 2018): 166-180.e14. https://doi.org/10.1016/j.cell.2018.02.012.Full Text Link to Item
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Chapfuwa, P., C. Tao, C. Li, C. Page, B. Goldstein, L. Carin, and R. Henao. “Adversarial time-to-event modeling.” 35th International Conference on Machine Learning, Icml 2018 2 (January 1, 2018): 1143–56.
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Pu, Y., S. Dai, Z. Gan, W. Wang, G. Wang, Y. Zhang, R. Henao, and L. Carin. “JointGAN: Multi-domain joint distribution learning with generative adversarial nets.” 35th International Conference on Machine Learning, Icml 2018 9 (January 1, 2018): 6626–35.
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Shen, D., G. Wang, W. Wang, M. R. Min, Q. Su, Y. Zhang, C. Li, R. Henao, and L. Carin. “Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms.” Acl 2018 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) 1 (January 1, 2018): 440–50. https://doi.org/10.18653/v1/p18-1041.Full Text
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Shen, D., Q. Su, P. Chapfuwa, W. Wang, G. Wang, L. Carin, and R. Henao. “NasH: Toward end-to-end neural architecture for generative semantic hashing.” Acl 2018 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) 1 (January 1, 2018): 2041–50. https://doi.org/10.18653/v1/p18-1190.Full Text Open Access Copy
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Shen, D., Y. Zhang, R. Henao, Q. Su, and L. Carin. “Deconvolutional latent-variable model for text sequence matching.” 32nd Aaai Conference on Artificial Intelligence, Aaai 2018, January 1, 2018, 5438–45.
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Wang, G., C. Li, W. Wang, Y. Zhang, D. Shen, X. Zhang, R. Henao, and L. Carin. “Joint embedding of words and labels for text classification.” Acl 2018 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) 1 (January 1, 2018): 2321–31. https://doi.org/10.18653/v1/p18-1216.Full Text
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Shen, D., X. Zhang, R. Henao, and L. Carin. “Improved semantic-aware network embedding with fine-grained word alignment.” Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Emnlp 2018, January 1, 2018, 1829–38.
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Carlson, David, Lisa K. David, Neil M. Gallagher, Mai-Anh T. Vu, Matthew Shirley, Rainbo Hultman, Joyce Wang, et al. “Dynamically Timed Stimulation of Corticolimbic Circuitry Activates a Stress-Compensatory Pathway.” Biol Psychiatry 82, no. 12 (December 15, 2017): 904–13. https://doi.org/10.1016/j.biopsych.2017.06.008.Full Text Link to Item
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Wang, Liming, Minhua Chen, Miguel Rodrigues, David Wilcox, Robert Calderbank, and Lawrence Carin. “Information-Theoretic Compressive Measurement Design.” Ieee Transactions on Pattern Analysis and Machine Intelligence 39, no. 6 (June 2017): 1150–64. https://doi.org/10.1109/tpami.2016.2568189.Full Text
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Pu, Y., W. Wang, R. Henao, L. Chen, Z. Gan, C. Li, and L. Carin. “Adversarial symmetric variational autoencoder.” Advances in Neural Information Processing Systems 2017-December (January 1, 2017): 4331–40.
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Zhang, Y., C. Chen, Z. Gan, R. Henao, and L. Carin. “Stochastic gradient monomial gamma sampler.” 34th International Conference on Machine Learning, Icml 2017 8 (January 1, 2017): 6083–92.
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Zhang, Y., D. Shen, G. Wang, Z. Gan, R. Henao, and L. Carin. “Deconvolutional paragraph representation learning.” Advances in Neural Information Processing Systems 2017-December (January 1, 2017): 4170–80.
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Zhang, Y., Z. Gan, K. Fan, Z. Chen, R. Henao, D. Shen, and L. Carin. “Adversarial feature matching for text generation.” 34th International Conference on Machine Learning, Icml 2017 8 (January 1, 2017): 6093–6102.
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Cao, X., T. Yue, X. Lin, S. Lin, X. Yuan, Q. Dai, L. Carin, and D. J. Brady. “Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world.” Ieee Signal Processing Magazine 33, no. 5 (September 1, 2016): 95–108. https://doi.org/10.1109/MSP.2016.2582378.Full Text
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Yuan, Xin, Xuejun Liao, Patrick Llull, David Brady, and Lawrence Carin. “Efficient patch-based approach for compressive depth imaging.” Applied Optics 55, no. 27 (September 2016): 7556–64. https://doi.org/10.1364/ao.55.007556.Full Text
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Hultman, Rainbo, Stephen D. Mague, Qiang Li, Brittany M. Katz, Nadine Michel, Lizhen Lin, Joyce Wang, et al. “Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional Pathology.” Neuron 91, no. 2 (July 20, 2016): 439–52. https://doi.org/10.1016/j.neuron.2016.05.038.Full Text Link to Item
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Henao, R., J. T. Lu, J. E. Lucas, J. Ferranti, and L. Carin. “Electronic health record analysis via deep poisson factor models.” Journal of Machine Learning Research 17 (April 1, 2016).
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Tsalik, Ephraim L., Ricardo Henao, Marshall Nichols, Thomas Burke, Emily R. Ko, Micah T. McClain, Lori L. Hudson, et al. “Host gene expression classifiers diagnose acute respiratory illness etiology.” Sci Transl Med 8, no. 322 (January 20, 2016): 322ra11. https://doi.org/10.1126/scitranslmed.aad6873.Full Text Open Access Copy Link to Item
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Carlson, David, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, and Volkan Cevher. “Stochastic Spectral Descent for Discrete Graphical Models,” 2016.
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Stevens, A., L. Kovarik, P. Abellan, X. Yuan, L. Carin, and N. D. Browning. “Applying compressive sensing to TEM video: a substantial frame rate increase on any camera.” Advanced Structural and Chemical Imaging 1, no. 1 (December 1, 2015). https://doi.org/10.1186/s40679-015-0009-3.Full Text
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Kaganovsky, Y., S. Han, S. Degirmenci, D. G. Politte, D. J. Brady, J. A. O’Sullivan, and L. Carin. “Alternating minimization algorithm with automatic relevance determination for transmission tomography under poisson noise.” Siam Journal on Imaging Sciences 8, no. 3 (September 30, 2015): 2087–2132. https://doi.org/10.1137/141000038.Full Text
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Llull, P., X. Yuan, L. Carin, and D. J. Brady. “Image translation for single-shot focal tomography.” Optica 2, no. 9 (September 20, 2015): 822–25. https://doi.org/10.1364/OPTICA.2.000822.Full Text
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Wang, L., J. Huang, X. Yuan, K. Krishnamurthy, J. Greenberg, V. Cevher, M. R. D. Rodrigues, D. Brady, R. Calderbank, and L. Carin. “Signal recovery and system calibration from multiple compressive poisson measurements.” Siam Journal on Imaging Sciences 8, no. 3 (September 17, 2015): 1923–54. https://doi.org/10.1137/140998779.Full Text
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Tsai, Tsung-Han, Patrick Llull, Xin Yuan, Lawrence Carin, and David J. Brady. “Spectral-temporal compressive imaging.” Optics Letters 40, no. 17 (September 2015): 4054–57. https://doi.org/10.1364/ol.40.004054.Full Text
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Yuan, X., T. H. Tsai, R. Zhu, P. Llull, D. Brady, and L. Carin. “Compressive hyperspectral imaging with side information.” Ieee Journal on Selected Topics in Signal Processing 9, no. 6 (September 1, 2015): 964–76. https://doi.org/10.1109/JSTSP.2015.2411575.Full Text
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Lian, W., R. Talmon, H. Zaveri, L. Carin, and R. Coifman. “Multivariate time-series analysis and diffusion maps.” Signal Processing 116 (April 25, 2015): 13–28. https://doi.org/10.1016/j.sigpro.2015.04.003.Full Text
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Strawn, N., A. Armagan, R. Saab, L. Carin, and D. Dunson. “Erratum: Finite sample posterior concentration in high-dimensional regression (Information and Inference (2015) 3 (103-133) DOI: 10.1093/imaiai/iau003).” Information and Inference 4, no. 1 (March 1, 2015): 77. https://doi.org/10.1093/imaiai/iau008.Full Text
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Polatkan, Gungor, Mingyuan Zhou, Lawrence Carin, David Blei, and Ingrid Daubechies. “A Bayesian Nonparametric Approach to Image Super-Resolution.” Ieee Transactions on Pattern Analysis and Machine Intelligence 37, no. 2 (February 2015): 346–58. https://doi.org/10.1109/tpami.2014.2321404.Full Text
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Zhou, Mingyuan, and Lawrence Carin. “Negative Binomial Process Count and Mixture Modeling.” Ieee Transactions on Pattern Analysis and Machine Intelligence 37, no. 2 (February 2015): 307–20. https://doi.org/10.1109/tpami.2013.211.Full Text
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Lu, Yanbin, Lawrence Carin, Ronald Coifman, William Shain, and Badrinath Roysam. “Quantitative arbor analytics: unsupervised harmonic co-clustering of populations of brain cell arbors based on L-measure.” Neuroinformatics 13, no. 1 (January 2015): 47–63. https://doi.org/10.1007/s12021-014-9237-2.Full Text
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Yang, Jianbo, Xuejun Liao, Xin Yuan, Patrick Llull, David J. Brady, Guillermo Sapiro, and Lawrence Carin. “Compressive sensing by learning a Gaussian mixture model from measurements.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 24, no. 1 (January 2015): 106–19. https://doi.org/10.1109/tip.2014.2365720.Full Text
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Yuan, X., R. Henao, E. L. Tsalik, R. J. Langley, and L. Carin. “Non-Gaussian discriminative factor models via the max-margin rank-likelihood.” 32nd International Conference on Machine Learning, Icml 2015 2 (January 1, 2015): 1254–63.Open Access Copy
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Gan, Zhe, Chunyuan Li, Ricardo Henao, David E. Carlson, and Lawrence Carin. “Deep temporal sigmoid belief networks for sequence modeling.” Advances in Neural Information Processing Systems, 2015, 2467–75.
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Duarte-Carvajalino, Julio M., Christophe Lenglet, Junqian Xu, Essa Yacoub, Kamil Ugurbil, Steen Moeller, Lawrence Carin, and Guillermo Sapiro. “Estimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI.” Magnetic Resonance in Medicine 72, no. 5 (November 2014): 1471–85. https://doi.org/10.1002/mrm.25046.Full Text
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Yang, Jianbo, Xin Yuan, Xuejun Liao, Patrick Llull, David J. Brady, Guillermo Sapiro, and Lawrence Carin. “Video compressive sensing using Gaussian mixture models.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 23, no. 11 (November 2014): 4863–78. https://doi.org/10.1109/tip.2014.2344294.Full Text
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Yuan, X., V. Rao, S. Han, and L. Carin. “Hierarchical Infinite Divisibility for Multiscale Shrinkage.” Ieee Transactions on Signal Processing 62, no. 17 (September 1, 2014): 4363–74. https://doi.org/10.1109/TSP.2014.2334557.Full Text
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Chowdhary, G., M. Liu, R. Grande, T. Walsh, J. How, and L. Carin. “Off-policy reinforcement learning with Gaussian processes.” Ieee/Caa Journal of Automatica Sinica 1, no. 3 (July 1, 2014): 227–38. https://doi.org/10.1109/JAS.2014.7004680.Full Text
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Kaganovsky, Yan, Daheng Li, Andrew Holmgren, HyungJu Jeon, Kenneth P. MacCabe, David G. Politte, Joseph A. O’Sullivan, Lawrence Carin, and David J. Brady. “Compressed sampling strategies for tomography.” Journal of the Optical Society of America. A, Optics, Image Science, and Vision 31, no. 7 (July 2014): 1369–94. https://doi.org/10.1364/josaa.31.001369.Full Text
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Liao, X., H. Li, and L. Carin. “Generalized alternating projection for weighted-l2,1 minimization with applications to model-based compressive sensing.” Siam Journal on Imaging Sciences 7, no. 2 (June 26, 2014): 797–823. https://doi.org/10.1137/130936658.Full Text
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Strawn, N., A. Armagan, R. Saab, L. Carin, and D. Dunson. “Finite sample posterior concentration in high-dimensional regression.” Information and Inference 3, no. 2 (June 1, 2014): 103–33. https://doi.org/10.1093/imaiai/iau003.Full Text
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Ray, Priyadip, Lingling Zheng, Joseph Lucas, and Lawrence Carin. “Bayesian joint analysis of heterogeneous genomics data.” Bioinformatics (Oxford, England) 30, no. 10 (May 2014): 1370–76. https://doi.org/10.1093/bioinformatics/btu064.Full Text
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Renna, F., R. Calderbank, L. Carin, and M. R. D. Rodrigues. “Reconstruction of signals drawn from a gaussian mixture via noisy compressive measurements.” Ieee Transactions on Signal Processing 62, no. 9 (May 1, 2014): 2265–77. https://doi.org/10.1109/TSP.2014.2309560.Full Text
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Stevens, Andrew, Hao Yang, Lawrence Carin, Ilke Arslan, and Nigel D. Browning. “The potential for Bayesian compressive sensing to significantly reduce electron dose in high-resolution STEM images.” Microscopy (Oxford, England) 63, no. 1 (February 2014): 41–51. https://doi.org/10.1093/jmicro/dft042.Full Text
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Arce, G. R., D. J. Brady, L. Carin, H. Arguello, and D. S. Kittle. “Compressive coded aperture spectral imaging: An introduction.” Ieee Signal Processing Magazine 31, no. 1 (January 1, 2014): 105–15. https://doi.org/10.1109/MSP.2013.2278763.Full Text
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Padmanabhan, Raghav K., Vinay H. Somasundar, Sandra D. Griffith, Jianliang Zhu, Drew Samoyedny, Kay See Tan, Jiahao Hu, et al. “An active learning approach for rapid characterization of endothelial cells in human tumors.” Plos One 9, no. 3 (January 2014): e90495. https://doi.org/10.1371/journal.pone.0090495.Full Text Open Access Copy
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Xing, Z., B. Nicholson, M. Jimenez, T. Veldman, L. Hudson, J. Lucas, D. Dunson, et al. “Bayesian modeling of temporal properties of infectious disease in a college student population.” Journal of Applied Statistics 41, no. 6 (January 1, 2014): 1358–82. https://doi.org/10.1080/02664763.2013.870138.Full Text
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Michaels, R. “Foreword,” 2014.Open Access Copy
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Tsalik, Ephraim L., Raymond J. Langley, Darrell L. Dinwiddie, Neil A. Miller, Byunggil Yoo, Jennifer C. van Velkinburgh, Laurie D. Smith, et al. “An integrated transcriptome and expressed variant analysis of sepsis survival and death.” Genome Med 6, no. 11 (2014): 111. https://doi.org/10.1186/s13073-014-0111-5.Full Text Open Access Copy Link to Item
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Wang, Liming, David Edwin Carlson, Miguel R. D. Rodrigues, Robert Calderbank, and Lawrence Carin. “A Bregman matrix and the gradient of mutual information for vector Poisson and Gaussian channels.” Ieee Transactions on Information Theory 60 (2014): 2611–29.
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Wang, L., M. Rodrigues, and L. Carin. “Generalized Bregman divergence and gradient of mutual information for vector Poisson channels.” Ieee International Symposium on Information Theory Proceedings, December 19, 2013, 454–58. https://doi.org/10.1109/ISIT.2013.6620267.Full Text Open Access Copy
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Liu, M., X. Liao, and L. Carin. “Online expectation maximization for reinforcement learning in POMDPs.” Ijcai International Joint Conference on Artificial Intelligence, December 1, 2013, 1501–7.
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Renna, F., R. Calderbank, L. Carin, and M. R. D. Rodrigues. “Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view.” 2013 Ieee Global Conference on Signal and Information Processing, Globalsip 2013 Proceedings, December 1, 2013, 628. https://doi.org/10.1109/GlobalSIP.2013.6736965.Full Text
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Renna, F., M. R. D. Rodrigues, M. Chen, R. Calderbank, and L. Carin. “Compressive sensing for incoherent imaging systems with optical constraints.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 18, 2013, 5484–88. https://doi.org/10.1109/ICASSP.2013.6638712.Full Text
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Zaas, Aimee K., Thomas Burke, Minhua Chen, Micah McClain, Bradly Nicholson, Timothy Veldman, Ephraim L. Tsalik, et al. “A host-based RT-PCR gene expression signature to identify acute respiratory viral infection.” Sci Transl Med 5, no. 203 (September 18, 2013): 203ra126. https://doi.org/10.1126/scitranslmed.3006280.Full Text Link to Item
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Lu, Y., K. Trett, W. Shain, L. Carin, R. Coifman, and B. Roysam. “Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements.” Proceedings International Symposium on Biomedical Imaging, August 22, 2013, 1360–63. https://doi.org/10.1109/ISBI.2013.6556785.Full Text
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Salazar, E., D. B. Dunson, and L. Carin. “Analysis of space-time relational data with application to legislative voting.” Computational Statistics and Data Analysis 68 (July 29, 2013): 141–54. https://doi.org/10.1016/j.csda.2013.06.018.Full Text
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Langley, Raymond J., Ephraim L. Tsalik, Jennifer C. van Velkinburgh, Seth W. Glickman, Brandon J. Rice, Chunping Wang, Bo Chen, et al. “An integrated clinico-metabolomic model improves prediction of death in sepsis.” Sci Transl Med 5, no. 195 (July 24, 2013): 195ra95. https://doi.org/10.1126/scitranslmed.3005893.Full Text Link to Item
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Rajwade, A., D. Kittle, T. H. Tsai, D. Brady, and L. Carin. “Coded hyperspectral imaging and blind compressive sensing.” Siam Journal on Imaging Sciences 6, no. 2 (July 15, 2013): 782–812. https://doi.org/10.1137/120875302.Full Text
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Murray, Jared S., David B. Dunson, Lawrence Carin, and Joseph E. Lucas. “Bayesian Gaussian Copula Factor Models for Mixed Data.” Journal of the American Statistical Association 108, no. 502 (June 2013): 656–65. https://doi.org/10.1080/01621459.2012.762328.Full Text Open Access Copy
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Henao, R., J. W. Thompson, M. A. Moseley, G. S. Ginsburg, L. Carin, and J. E. Lucas. “Latent protein trees.” Annals of Applied Statistics 7, no. 2 (June 1, 2013): 691–713. https://doi.org/10.1214/13-AOAS639.Full Text Open Access Copy
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Llull, Patrick, Xuejun Liao, Xin Yuan, Jianbo Yang, David Kittle, Lawrence Carin, Guillermo Sapiro, and David J. Brady. “Coded aperture compressive temporal imaging.” Optics Express 21, no. 9 (May 2013): 10526–45. https://doi.org/10.1364/oe.21.010526.Full Text Open Access Copy
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Wang, E., E. Salazar, D. Dunson, and L. Carin. “Spatio-temporal modeling of legislation and votes.” Bayesian Analysis 8, no. 1 (March 22, 2013): 233–68. https://doi.org/10.1214/13-BA810.Full Text
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Duarte-Carvajalino, J. M., G. Yu, L. Carin, and G. Sapiro. “Task-driven adaptive statistical compressive sensing of gaussian mixture models.” Ieee Transactions on Signal Processing 61, no. 3 (January 21, 2013): 585–600. https://doi.org/10.1109/TSP.2012.2225054.Full Text Open Access Copy
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Campbell, T., M. Liu, B. Kulis, J. P. How, and L. Carin. “Dynamic clustering via asymptotics of the dependent Dirichlet process mixture.” Advances in Neural Information Processing Systems, January 1, 2013.
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Carlson, David E., Joshua T. Vogelstein, Qisong Wu, Wenzhao Lian, Mingyuan Zhou, Colin R. Stoetzner, Daryl Kipke, Douglas Weber, David B. Dunson, and Lawrence Carin. “Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling.” Ieee Transactions on Biomedical Engineering 61 (2013): 41–54.Open Access Copy
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Chen, B., G. Polatkan, G. Sapiro, D. Blei, D. Dunson, and L. Carin. “Deep Learning with Hierarchical Convolutional Factor Analysis.” Ieee Transactions on Pattern Analysis and Machine Intelligence, January 2013.
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Han, S., X. Liao, and L. Carin. “Integrated non-factorized variational inference.” Advances in Neural Information Processing Systems, January 1, 2013.
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Henao, Ricardo, Jared Murray, Geoffrey Ginsburg, Lawrence Carin, and Joseph E. Lucas. “Patient clustering with uncoded text in electronic medical records.” Amia Annu Symp Proc 2013 (2013): 592–99.Link to Item
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Karumbaiah, Lohitash, Tarun Saxena, David Carlson, Ketki Patil, Radhika Patkar, Eric A. Gaupp, Martha Betancur, Garrett B. Stanley, Lawrence Carin, and Ravi V. Bellamkonda. “Relationship between intracortical electrode design and chronic recording function.” Biomaterials 34 (2013): 8061–74.
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Liu, M., X. Liao, and L. Carin. “Online expectation maximization for reinforcement learning in POMDPs.” Ijcai International Joint Conference on Artificial Intelligence, 2013, 1501–7.
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Llull, P., X. Liao, X. Yuan, J. Yang, D. Kittle, L. Carin, G. Sapiro, and D. J. Brady. “Compressive sensing for video using a passive coding element.” Optics Infobase Conference Papers, January 1, 2013.
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Salazar, E., R. Bogdan, A. Gorka, A. R. Hariri, and L. Carin. “Exploring the mind: Integrating questionnaires and fMRI.” 30th International Conference on Machine Learning, Icml 2013, no. PART 2 (January 1, 2013): 921–29.
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Xing, Z., B. Nicholson, M. Jimenez, T. Veldman, L. Hudson, J. Lucas, D. Dunson, et al. “Bayesian modeling of temporal properties of infectious disease in a college student population.” Journal of Applied Statistics, 2013.
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Carlson, David E., Vinayak Rao, Joshua T. Vogelstein, and Lawrence Carin. “Real-time inference for a gamma process model of neural spiking.” Advances in Neural Information Processing Systems, 2013, 2805–13.
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Wang, Liming, David E. Carlson, Miguel Rodrigues, David Wilcox, Robert Calderbank, and Lawrence Carin. “Designed measurements for vector count data.” Advances in Neural Information Processing Systems, 2013, 1142–50.
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Woods, Christopher W., Micah T. McClain, Minhua Chen, Aimee K. Zaas, Bradly P. Nicholson, Jay Varkey, Timothy Veldman, et al. “A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2.” Plos One 8, no. 1 (2013): e52198. https://doi.org/10.1371/journal.pone.0052198.Full Text Open Access Copy Link to Item
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Yang, J., X. Yuan, X. Liao, P. Llull, G. Sapiro, D. J. Brady, and L. Carin. “Gaussian mixture model for video compressive sensing.” 2013 Ieee International Conference on Image Processing, Icip 2013 Proceedings, January 1, 2013, 19–23. https://doi.org/10.1109/ICIP.2013.6738005.Full Text
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Yuan, X., J. Yang, P. Llull, X. Liao, G. Sapiro, D. J. Brady, and L. Carin. “Adaptive temporal compressive sensing for video.” 2013 Ieee International Conference on Image Processing, Icip 2013 Proceedings, January 1, 2013, 14–18. https://doi.org/10.1109/ICIP.2013.6738004.Full Text Open Access Copy
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Carin, L. “Dictionary learning for hyperspectral video compressive sensing.” Frontiers in Optics, Fio 2012, December 1, 2012.
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Ding, Mingtao, Lihan He, David Dunson, and Lawrence Carin. “Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process.” Bayesian Analysis 7, no. 4 (December 2012): 813–40. https://doi.org/10.1214/12-ba727.Full Text
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Li, L., X. X. Zhang, M. Zhou, and L. Carin. “Nested dictionary learning for hierarchical organization of imagery and text.” Uncertainty in Artificial Intelligence Proceedings of the 28th Conference, Uai 2012, December 1, 2012, 469–78.Open Access Copy
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Zhang, X. X., and L. Carin. “Joint modeling of a matrix with associated text via latent binary features.” Advances in Neural Information Processing Systems 2 (December 1, 2012): 1556–64.
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Zhou, M., and L. Carin. “Augment-and-conquer negative binomial processes.” Advances in Neural Information Processing Systems 4 (December 1, 2012): 2546–54.Open Access Copy
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Silva, J., and L. Carin. “Active learning for large-scale factor analysis.” 2012 Ieee Statistical Signal Processing Workshop, Ssp 2012, November 6, 2012, 161–64. https://doi.org/10.1109/SSP.2012.6319648.Full Text
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Carson, W. R., M. R. D. Rodrigues, M. Chen, L. Carin, and R. Calderbank. “How to focus the discriminative power of a dictionary.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 23, 2012, 1365–68. https://doi.org/10.1109/ICASSP.2012.6288144.Full Text
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Duarte-Carvajalino, J. M., G. Yu, L. Carin, and G. Sapiro. “Adapted statistical compressive sensing: Learning to sense gaussian mixture models.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 23, 2012, 3653–56. https://doi.org/10.1109/ICASSP.2012.6288708.Full Text
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Li, L., J. Silva, M. Zhou, and L. Carin. “Online Bayesian dictionary learning for large datasets.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, October 23, 2012, 2157–60. https://doi.org/10.1109/ICASSP.2012.6288339.Full Text
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Chen, M., W. Carson, M. Rodrigues, R. Calderbank, and L. Carin. “Communications inspired linear discriminant analysis.” Proceedings of the 29th International Conference on Machine Learning, Icml 2012 1 (October 10, 2012): 919–26.Open Access Copy
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Han, S., X. Liao, and L. Carin. “Cross-domain multitask learning with latent probit models.” Proceedings of the 29th International Conference on Machine Learning, Icml 2012 2 (October 10, 2012): 1463–70.Open Access Copy
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Salazar, E., M. S. Cain, E. F. Darling, S. R. Mitroff, and L. Carin. “Inferring latent structure from mixed real and categorical relational data.” Proceedings of the 29th International Conference on Machine Learning, Icml 2012 2 (October 10, 2012): 1039–46.Open Access Copy
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Wang, Y., and L. Carin. “Lévy measure decompositions for the beta and gamma processes.” Proceedings of the 29th International Conference on Machine Learning, Icml 2012 1 (October 10, 2012): 73–80.
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Zhou, M., L. Li, D. Dunson, and L. Carin. “Lognormal and gamma mixed negative binomial regression.” Proceedings of the 29th International Conference on Machine Learning, Icml 2012 2 (October 10, 2012): 1343–50.Open Access Copy
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Chen, X., M. Zhou, and L. Carin. “The contextual focused topic model.” Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, September 14, 2012, 96–104. https://doi.org/10.1145/2339530.2339549.Full Text
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Silva, J., and L. Carin. “Active learning for online bayesian matrix factorization.” Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, September 14, 2012, 325–33. https://doi.org/10.1145/2339530.2339584.Full Text
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Henao, R., J. W. Thompson, M. A. Moseley, G. S. Ginsburg, L. Carin, and J. E. Lucas. “Hierarchical factor modeling of proteomics data.” 2012 Ieee 2nd International Conference on Computational Advances in Bio and Medical Sciences, Iccabs 2012, May 8, 2012. https://doi.org/10.1109/ICCABS.2012.6182638.Full Text
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Xing, Z., M. Zhou, A. Castrodad, G. Sapiro, and L. Carin. “Dictionary learning for noisy and incomplete hyperspectral images.” Siam Journal on Imaging Sciences 5, no. 1 (February 13, 2012): 33–56. https://doi.org/10.1137/110837486.Full Text
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Carin, Lawrence, Alfred Hero, Joseph Lucas, David Dunson, Minhua Chen, Ricardo Heñao, Arnau Tibau-Puig, Aimee Zaas, Christopher W. Woods, and Geoffrey S. Ginsburg. “High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.” Ieee Signal Process Mag 29, no. 1 (January 1, 2012): 108–23. https://doi.org/10.1109/MSP.2011.943009.Full Text Link to Item
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Carson, W. R., M. Chen, M. R. D. Rodrigues, R. Calderbank, and L. Carin. “Communications-inspired projection design with application to compressive sensing.” Siam Journal on Imaging Sciences 5, no. 4 (January 1, 2012): 1182–1212. https://doi.org/10.1137/120878380.Full Text Open Access Copy
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Padmanabhan, R., V. Somasundar, B. Roysam, X. Liao, L. Carin, J. Hu, J. Zhu, and W. Lee. “Active machine learning method for identification of cell types in multiplex-stained histopathology specimens imaged by multi-spectral microscopy.” Microscopy and Microanalysis 18 (January 1, 2012): 1216–17. https://doi.org/10.1017/S1431927612007933.Full Text
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Zhou, M., L. A. Hannah, D. B. Dunson, and L. Carin. “Beta-negative binomial process and poisson factor analysis.” Journal of Machine Learning Research 22 (January 1, 2012): 1462–71.Open Access Copy
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Zhou, Mingyuan, Haojun Chen, John Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David Dunson, Guillermo Sapiro, and Lawrence Carin. “Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 21, no. 1 (January 2012): 130–44. https://doi.org/10.1109/tip.2011.2160072.Full Text
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Ding, Xinghao, Lihan He, and Lawrence Carin. “Bayesian robust principal component analysis.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 20, no. 12 (December 2011): 3419–30. https://doi.org/10.1109/tip.2011.2156801.Full Text
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Ren, L., Y. Wang, D. Dunson, and L. Carin. “The kernel beta process.” Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, Nips 2011, December 1, 2011.
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Zhang, X. X., D. B. Dunson, and L. Carin. “Hierarchical topic modeling for analysis of time-evolving personal choices.” Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, Nips 2011, December 1, 2011.
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Zhou, M., L. Carin, H. Yang, D. Dunson, and G. Sapiro. “Dependent hierarchical beta process for image interpolation and denoising.” Journal of Machine Learning Research 15 (December 1, 2011): 883–91.
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Castrodad, A., Z. Xing, J. B. Greer, E. Bosch, L. Carin, and G. Sapiro. “Learning discriminative sparse representations for modeling, source separation, and mapping of hyperspectral imagery.” Ieee Transactions on Geoscience and Remote Sensing 49, no. 11 PART 1 (November 1, 2011): 4263–81. https://doi.org/10.1109/TGRS.2011.2163822.Full Text
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Chen, B., G. Polatkan, G. Sapiro, D. B. Dunson, and L. Carin. “The hierarchical beta process for convolutional factor analysis and deep learning.” Proceedings of the 28th International Conference on Machine Learning, Icml 2011, October 7, 2011, 361–68.
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Li, L., M. Zhou, G. Sapiro, and L. Carin. “On the integration of topic modeling and dictionary learning.” Proceedings of the 28th International Conference on Machine Learning, Icml 2011, October 7, 2011, 625–32.
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Liu, M., X. Liao, and L. Carin. “The infinite regionalized policy representation.” Proceedings of the 28th International Conference on Machine Learning, Icml 2011, October 7, 2011, 769–76.
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Paisley, J., L. Carin, and D. Blei. “Variational inference for stick-breaking beta process priors.” Proceedings of the 28th International Conference on Machine Learning, Icml 2011, October 7, 2011, 889–96.
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Ray, P., and L. Carin. “Non-parametric Bayesian modeling and fusion of spatio-temporal information sources.” Fusion 2011 14th International Conference on Information Fusion, September 13, 2011.
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Ding, X., and L. Carin. “Separating background and foregroundin video based on a nonparametric Bayesian model.” Ieee Workshop on Statistical Signal Processing Proceedings, September 5, 2011, 321–24. https://doi.org/10.1109/SSP.2011.5967692.Full Text
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Ray, P., and L. Carin. “Nonparametric Bayesian factor analysis of multiple time series.” Ieee Workshop on Statistical Signal Processing Proceedings, September 5, 2011, 49–52. https://doi.org/10.1109/SSP.2011.5967742.Full Text
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Wang, E., J. Silva, R. Willett, and L. Carin. “Dynamic relational topic model for social network analysis with noisy links.” Ieee Workshop on Statistical Signal Processing Proceedings, September 5, 2011, 497–500. https://doi.org/10.1109/SSP.2011.5967741.Full Text
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Cramer, C., and L. Carin. “Bayesian topic models for describing computer network behaviors.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 1888–91. https://doi.org/10.1109/ICASSP.2011.5946875.Full Text
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Li, H., X. Liao, and L. Carin. “Nonparametric Bayesian feature selection for multi-task learning.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 2236–39. https://doi.org/10.1109/ICASSP.2011.5946926.Full Text
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Li, L., M. Zhou, E. Wang, and L. Carin. “Joint dictionary learning and topic modeling for image clustering.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 2168–71. https://doi.org/10.1109/ICASSP.2011.5946757.Full Text
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Wang, E., J. Silva, R. Willett, and L. Carin. “Time-evolving modeling of social networks.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 2184–87. https://doi.org/10.1109/ICASSP.2011.5946761.Full Text
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Zhou, M., H. Yang, G. Sapiro, D. Dunson, and L. Carin. “Covariate-dependent dictionary learning and sparse coding.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, August 18, 2011, 5824–27. https://doi.org/10.1109/ICASSP.2011.5947685.Full Text
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Carin, L., D. Liu, and B. Guo. “Coherence, compressive sensing, and random sensor arrays.” Ieee Antennas and Propagation Magazine 53, no. 4 (August 1, 2011): 28–39. https://doi.org/10.1109/MAP.2011.6097283.Full Text
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Huang, Yongsheng, Aimee K. Zaas, Arvind Rao, Nicolas Dobigeon, Peter J. Woolf, Timothy Veldman, N Christine Øien, et al. “Temporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection.” Plos Genet 7, no. 8 (August 2011): e1002234. https://doi.org/10.1371/journal.pgen.1002234.Full Text Open Access Copy Link to Item
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Carin, Lawrence, Richard G. Baraniuk, Volkan Cevher, David Dunson, Michael I. Jordan, Guillermo Sapiro, and Michael B. Wakin. “Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements.” Ieee Signal Processing Magazine 28, no. 2 (March 2011). https://doi.org/10.1109/msp.2010.939733.Full Text
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Chen, M., J. Silva, J. Paisley, C. Wang, D. Dunson, and L. Carin. “Erratum: Compressive sensing on manifolds using a nonparametric mixture of factor analyzers: Algorithm and performance bounds (IEEE Transactions Signal Processing (2011)) 58,12 (6140-6155)).” Ieee Transactions on Signal Processing 59, no. 3 (March 1, 2011): 1329. https://doi.org/10.1109/TSP.2011.2107810.Full Text
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Chen, Minhua, David Carlson, Aimee Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Alfred Hero, Joseph Lucas, and Lawrence Carin. “Detection of viruses via statistical gene expression analysis.” Ieee Trans Biomed Eng 58, no. 3 (March 2011): 468–79. https://doi.org/10.1109/TBME.2010.2059702.Full Text Link to Item
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Chapple, C. R. “Foreword.” European Urological Review 6, no. 2 (January 1, 2011): 1.
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Chen, Haojun, David B. Dunson, and Lawrence Carin. “Topic Modeling with Nonparametric Markov Tree.” Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning 2011 (January 2011): 377–84.
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Chen, Minhua, Aimee Zaas, Christopher Woods, Geoffrey S. Ginsburg, Joseph Lucas, David Dunson, and Lawrence Carin. “Predicting Viral Infection From High-Dimensional Biomarker Trajectories.” J Am Stat Assoc 106, no. 496 (January 1, 2011): 1259–79. https://doi.org/10.1198/jasa.2011.ap10611.Full Text Link to Item
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Ren, Lu, Lan Du, Lawrence Carin, and David B. Dunson. “Logistic Stick-Breaking Process.” Journal of Machine Learning Research : Jmlr 12, no. Jan (January 2011): 203–39.
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Zhang, XianXing, David B. Dunson, and Lawrence Carin. “Tree-Structured Infinite Sparse Factor Model.” Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning 2011 (January 2011): 785–92.
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Zhou, M., C. Wang, M. Chen, J. Paisley, D. Dunson, and L. Carin. “Nonparametric bayesian matrix completion.” 2010 Ieee Sensor Array and Multichannel Signal Processing Workshop, Sam 2010, December 20, 2010, 213–16. https://doi.org/10.1109/SAM.2010.5606741.Full Text
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Castrodad, A., Z. Xing, J. Greer, E. Bosch, L. Carin, and G. Sapiro. “Discriminative sparse representations in hyperspectral imagery.” Proceedings International Conference on Image Processing, Icip, December 1, 2010, 1313–16. https://doi.org/10.1109/ICIP.2010.5651568.Full Text
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Chen, Minhua, Jorge Silva, John Paisley, Chunping Wang, David Dunson, and Lawrence Carin. “Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds.” Ieee Transactions on Signal Processing : A Publication of the Ieee Signal Processing Society 58, no. 12 (December 2010): 6140–55. https://doi.org/10.1109/tsp.2010.2070796.Full Text
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Paisley, J., M. Zhou, G. Sapiro, and L. Carin. “Nonparametric image interpolation and dictionary learning using spatially-dependent dirichlet and beta process priors.” Proceedings International Conference on Image Processing, Icip, December 1, 2010, 1869–72. https://doi.org/10.1109/ICIP.2010.5653350.Full Text
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Wang, E., D. Liu, J. Silva, D. Dunson, and L. Carin. “Joint analysis of time-evolving binary matrices and associated documents.” Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Nips 2010, December 1, 2010.
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He, L., H. Chen, and L. Carin. “Tree-Structured compressive sensing with variational bayesian analysis.” Ieee Signal Processing Letters 17, no. 3 (November 12, 2010): 233–36. https://doi.org/10.1109/LSP.2009.2037532.Full Text
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Chen, Bo, Minhua Chen, John Paisley, Aimee Zaas, Christopher Woods, Geoffrey S. Ginsburg, Alfred Hero, Joseph Lucas, David Dunson, and Lawrence Carin. “Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies.” Bmc Bioinformatics 11 (November 9, 2010): 552. https://doi.org/10.1186/1471-2105-11-552.Full Text Open Access Copy Link to Item
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Blei, David, Lawrence Carin, and David Dunson. “Probabilistic Topic Models: A focus on graphical model design and applications to document and image analysis.” Ieee Signal Processing Magazine 27, no. 6 (November 2010): 55–65. https://doi.org/10.1109/msp.2010.938079.Full Text
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Du, L., M. Chen, J. Lucas, and L. Carin. “Sticky hidden Markov modeling of comparative genomic hybridization.” Ieee Transactions on Signal Processing 58, no. 10 (October 1, 2010): 5353–68. https://doi.org/10.1109/TSP.2010.2053033.Full Text
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Paisley, J., A. Zaas, C. W. Woods, G. S. Ginsburg, and L. Carin. “A stick-breaking construction of the beta process.” Icml 2010 Proceedings, 27th International Conference on Machine Learning, September 17, 2010, 847–54.
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Pruteanu-Malinici, Iulian, Lu Ren, John Paisley, Eric Wang, and Lawrence Carin. “Hierarchical bayesian modeling of topics in time-stamped documents.” Ieee Transactions on Pattern Analysis and Machine Intelligence 32, no. 6 (June 2010): 996–1011. https://doi.org/10.1109/tpami.2009.125.Full Text
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Ren, L., D. Dunson, S. Lindroth, and L. Carin. “Dynamic nonparametric bayesian models for analysis of music.” Journal of the American Statistical Association 105, no. 490 (June 1, 2010): 458–72. https://doi.org/10.1198/jasa.2009.ap08497.Full Text Open Access Copy
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Paisley, J., X. Liao, and L. Carin. “Active learning and basis selection for kernel-based linear models: A bayesian perspective.” Ieee Transactions on Signal Processing 58, no. 5 (May 1, 2010): 2686–2700. https://doi.org/10.1109/TSP.2010.2042491.Full Text
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Wang, Chunping, Xuejun Liao, Lawrence Carin, and David B. Dunson. “Classification with Incomplete Data Using Dirichlet Process Priors.” Journal of Machine Learning Research : Jmlr 11 (March 2010): 3269–3311.
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Zaas, A. K., M. Chen, A. O. Hero, J. Lucas, L. Carin, and G. S. Ginsburg. “Response: Improving Development of the Molecular Signature for Diagnosis of Acute Respiratory Viral Infections.” Cell Host and Microbe 7, no. 2 (February 18, 2010): 102. https://doi.org/10.1016/j.chom.2010.02.002.Full Text
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Cevher, V., P. Indyk, L. Carin, and R. Baraniuk. “Sparse signal recovery and acquisition with graphical models.” Ieee Signal Processing Magazine 27, no. 6 (January 1, 2010): 92–103. https://doi.org/10.1109/MSP.2010.938029.Full Text
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Chen, B., J. Paisley, and L. Carin. “Sparse linear regression with beta process priors.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, January 1, 2010, 1234–37. https://doi.org/10.1109/ICASSP.2010.5495400.Full Text
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Paisley, J., and L. Carin. “A nonparametric Bayesian model for kernel matrix completion.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, January 1, 2010, 2090–93. https://doi.org/10.1109/ICASSP.2010.5495105.Full Text
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Wang, E., J. Silva, and L. Carin. “Compressive particle filtering for target tracking.” Ieee Workshop on Statistical Signal Processing Proceedings, December 25, 2009, 233–36. https://doi.org/10.1109/SSP.2009.5278595.Full Text
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Paisley, J., and L. Carin. “Nonparametric factor analysis with beta process priors.” Proceedings of the 26th International Conference on Machine Learning, Icml 2009, December 9, 2009, 777–84.
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Cai, C., X. Liao, and L. Carin. “Learning to explore and exploit in POMDPs.” Advances in Neural Information Processing Systems 22 Proceedings of the 2009 Conference, December 1, 2009, 198–206.
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Zhou, M., H. Chen, J. Paisley, L. Ren, G. Sapiro, and L. Carin. “Non-parametric Bayesian dictionary learning for sparse image representations.” Advances in Neural Information Processing Systems 22 Proceedings of the 2009 Conference, December 1, 2009, 2295–2303.
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Zhou, M., J. Paisley, and L. Carin. “Nonparametric learning of dictionaries for sparse representation of sensor signals.” Camsap 2009 2009 3rd Ieee International Workshop on Computational Advances in Multi Sensor Adaptive Processing, December 1, 2009, 237–40. https://doi.org/10.1109/CAMSAP.2009.5413290.Full Text
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Paisley, J., and L. Carin. “Hidden markov models with stick-breaking priors.” Ieee Transactions on Signal Processing 57, no. 10 (October 9, 2009): 3905–17. https://doi.org/10.1109/TSP.2009.2024987.Full Text
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Carin, L. “On the relationship between compressive sensing and random sensor arrays.” Ieee Antennas and Propagation Magazine 51, no. 5 (October 1, 2009): 72–81. https://doi.org/10.1109/MAP.2009.5432044.Full Text
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Mesecher, D., L. Carin, I. Kadar, and R. Pirich. “Exploiting signal sparseness for reduced-rate sampling.” 2009 Ieee Long Island Systems, Applications and Technology Conference, Lisat 2009, September 25, 2009. https://doi.org/10.1109/LISAT.2009.5031567.Full Text
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Li, H., X. Liao, and L. Carin. “Active learning for semi-supervised multi-task learning.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, September 23, 2009, 1637–40. https://doi.org/10.1109/ICASSP.2009.4959914.Full Text
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Paisley, J., and L. Carin. “Dirichlet process mixture models with multiple modalities.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, September 23, 2009, 1613–16. https://doi.org/10.1109/ICASSP.2009.4959908.Full Text
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Ren, L., D. B. Dunson, S. Lindroth, and L. Carin. “Music analysis with a Bayesian dynamic model.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, September 23, 2009, 1681–84. https://doi.org/10.1109/ICASSP.2009.4959925.Full Text
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Wang, C., Q. An, L. Carin, and D. B. Dunson. “Multi-task classification with infinite local experts.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, September 23, 2009, 1569–72. https://doi.org/10.1109/ICASSP.2009.4959897.Full Text
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Zaas, Aimee K., Minhua Chen, Jay Varkey, Timothy Veldman, Alfred O. Hero, Joseph Lucas, Yongsheng Huang, et al. “Gene expression signatures diagnose influenza and other symptomatic respiratory viral infections in humans.” Cell Host Microbe 6, no. 3 (September 17, 2009): 207–17. https://doi.org/10.1016/j.chom.2009.07.006.Full Text Link to Item
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Paisley, J., and L. Carin. “Nonparametric factor analysis with beta process priors.” Acm International Conference Proceeding Series 382 (September 15, 2009). https://doi.org/10.1145/1553374.1553474.Full Text
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He, L., and L. Carin. “Exploiting structure in wavelet-based bayesian compressive sensing.” Ieee Transactions on Signal Processing 57, no. 9 (September 3, 2009): 3488–97. https://doi.org/10.1109/TSP.2009.2022003.Full Text
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Liu, Qiuhua, Xuejun Liao, Hui Li Carin, Jason R. Stack, and Lawrence Carin. “Semisupervised multitask learning.” Ieee Transactions on Pattern Analysis and Machine Intelligence 31, no. 6 (June 2009): 1074–86. https://doi.org/10.1109/tpami.2008.296.Full Text
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Carin, L., D. Liu, W. Lin, and B. Guo. “Compressive sensing for multi-static scattering analysis.” Journal of Computational Physics 228, no. 9 (May 20, 2009): 3464–77. https://doi.org/10.1016/j.jcp.2009.01.033.Full Text
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Liao, X., and L. Carin. “Migratory logistic regression for learning concept drift between two data sets with application to UXO sensing.” Ieee Transactions on Geoscience and Remote Sensing 47, no. 5 (May 1, 2009): 1454–66. https://doi.org/10.1109/TGRS.2008.2005268.Full Text
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Stack, Jason R., Gerald J. Dobeck, Xuejun Liao, and Lawrence Carin. “Kernel-matching pursuits with arbitrary loss functions.” Ieee Transactions on Neural Networks 20, no. 3 (March 2009): 395–405. https://doi.org/10.1109/tnn.2008.2008337.Full Text
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Ji, Shihao, Layne T. Watson, and Lawrence Carin. “Semisupervised learning of hidden Markov models via a homotopy method.” Ieee Transactions on Pattern Analysis and Machine Intelligence 31, no. 2 (February 2009): 275–87. https://doi.org/10.1109/tpami.2008.71.Full Text
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Ji, S., D. Dunson, and L. Carin. “Multitask compressive sensing.” Ieee Transactions on Signal Processing 57, no. 1 (January 29, 2009): 92–106. https://doi.org/10.1109/TSP.2008.2005866.Full Text
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Du, Lan, Lu Ren, David B. Dunson, and Lawrence Carin. “A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.” Advances in Neural Information Processing Systems 2009 (January 2009): 486–94.
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Li, H., X. Liao, and L. Carin. “Multi-task reinforcement learning in partially observable stochastic environments.” Journal of Machine Learning Research 10 (January 1, 2009): 1131–86.
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Carin, L., B. Guo, and D. Liu. “On enhancing classification performance by exploiting multiple scattering.” Applied Physics Letters 93, no. 25 (December 1, 2008). https://doi.org/10.1063/1.3054334.Full Text
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Fang, J., S. Ji, Y. Xue, and L. Carin. “Multitask classification by learning the task relevance.” Ieee Signal Processing Letters 15 (December 1, 2008): 593–96. https://doi.org/10.1109/LSP.2008.2001967.Full Text
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Liu, Q., X. Liao, and L. Carin. “Detection of unexploded ordnance via efficient semisupervised and active learning.” Ieee Transactions on Geoscience and Remote Sensing 46, no. 9 (September 1, 2008): 2558–67. https://doi.org/10.1109/TGRS.2008.920468.Full Text
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Carin, L., G. Cybenko, and J. Hughes. “Cybersecurity strategies: The QuERIES methodology.” Computer 41, no. 8 (August 27, 2008): 20–26. https://doi.org/10.1109/MC.2008.295.Full Text
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Ni, K., J. Paisley, L. Carin, and D. Dunson. “Multi-task learning for analyzing and sorting large databases of sequential data.” Ieee Transactions on Signal Processing 56, no. 8 II (August 1, 2008): 3918–31. https://doi.org/10.1109/TSP.2008.924798.Full Text
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Ji, S., Y. Xue, and L. Carin. “Bayesian compressive sensing.” Ieee Transactions on Signal Processing 56, no. 6 (June 1, 2008): 2346–56. https://doi.org/10.1109/TSP.2007.914345.Full Text
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Arnold, G., T. Ross, L. Westerkamp, L. Carin, and R. Moses. “The ATR center and ATRpedia.” Proceedings of Spie the International Society for Optical Engineering 6978 (May 20, 2008). https://doi.org/10.1117/12.783439.Full Text
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Pruteanu-Malinici, Iulian, and Lawrence Carin. “Infinite hidden Markov models for unusual-event detection in video.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 17, no. 5 (May 2008): 811–22. https://doi.org/10.1109/tip.2008.919359.Full Text
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Ho, K. C., L. Carin, P. D. Gader, and J. N. Wilson. “An investigation of using the spectral characteristics from ground penetrating radar for landmine/clutter discrimination.” Ieee Transactions on Geoscience and Remote Sensing 46, no. 4 (April 1, 2008): 1177–91. https://doi.org/10.1109/TGRS.2008.915747.Full Text
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Dunson, D. B., Y. Xue, and L. Carin. “The matrix stick-breaking process: Flexible Bayes meta-analysis.” Journal of the American Statistical Association 103, no. 481 (March 1, 2008): 317–27. https://doi.org/10.1198/016214507000001364.Full Text
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Bucaro, J. A., B. H. Houston, M. Saniga, L. R. Dragonette, T. Yoder, S. Dey, L. Kraus, and L. Carin. “Broadband acoustic scattering measurements of underwater unexploded ordnance (UXO).” The Journal of the Acoustical Society of America 123, no. 2 (February 2008): 738–46. https://doi.org/10.1121/1.2821794.Full Text
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Carin, L., D. Liu, and B. Guo. “In situ compressive sensing.” Inverse Problems 24, no. 1 (February 1, 2008). https://doi.org/10.1088/0266-5611/24/1/015023.Full Text
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An, Q., C. Wang, I. Shterev, E. Wang, L. Carin, and D. B. Dunson. “Hierarchical kernel stick-breaking process for multi-task image analysis.” Proceedings of the 25th International Conference on Machine Learning, January 1, 2008, 17–24. https://doi.org/10.1145/1390156.1390159.Full Text
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Qi, Y., D. Liu, D. Dunson, and L. Carin. “Multi-task compressive sensing with dirichlet process priors.” Proceedings of the 25th International Conference on Machine Learning, January 1, 2008, 768–75. https://doi.org/10.1145/1390156.1390253.Full Text
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Ren, L., D. B. Dunson, and L. Carin. “The dynamic hierarchical Dirichlet process.” Proceedings of the 25th International Conference on Machine Learning, January 1, 2008, 824–31. https://doi.org/10.1145/1390156.1390260.Full Text
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Zhu, X., and L. Carin. “Scattering from very large randomly rough surfaces using a Markov random field equivalent current.” Ieee Transactions on Antennas and Propagation 56, no. 1 (January 1, 2008): 204–14. https://doi.org/10.1109/TAP.2007.913148.Full Text
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Bal, G., L. Carin, D. Liu, and K. Ren. “Experimental validation of a transport-based imaging method in highly scattering environments.” Inverse Problems 23, no. 6 (December 1, 2007): 2527–39. https://doi.org/10.1088/0266-5611/23/6/015.Full Text
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Carin, L., D. Liu, and Y. Xue. “In situ compressive sensing.” Ieee Workshop on Statistical Signal Processing Proceedings, December 1, 2007, 322–25. https://doi.org/10.1109/SSP.2007.4301272.Full Text
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Carin, L., D. Liu, and Y. Xue. “In situ compressive sensing.” 2007 2nd Ieee International Workshop on Computational Advances in Multi Sensor Adaptive Processing, Campsap, December 1, 2007, 105–8. https://doi.org/10.1109/CAMSAP.2007.4497976.Full Text
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Liu, Q., X. Liao, and L. Carin. “Semi-supervised life-long learning with application to sensing.” 2007 2nd Ieee International Workshop on Computational Advances in Multi Sensor Adaptive Processing, Campsap, December 1, 2007, 1–4. https://doi.org/10.1109/CAMSAP.2007.4497950.Full Text
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Shihao, J., R. Parr, L. Hui, L. Xuejun, and L. Carin. “Point-based policy iteration.” Proceedings of the National Conference on Artificial Intelligence 2 (November 28, 2007): 1243–49.
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Stack, J. R., F. Crosby, R. J. McDonald, Y. Xue, and L. Carin. “Multi-task learning for underwater object classification.” Proceedings of Spie the International Society for Optical Engineering 6553 (November 15, 2007). https://doi.org/10.1117/12.717071.Full Text
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Qi, Y., J. W. Paisley, and L. Carin. “Music analysis using hidden Markov mixture models.” Ieee Transactions on Signal Processing 55, no. 11 (November 1, 2007): 5209–24. https://doi.org/10.1109/TSP.2007.898782.Full Text
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Williams, D., Y. Yu, L. Kennedy, X. Zhu, and L. Carin. “A bivariate gaussian model for unexploded ordnance classification with EMI data.” Ieee Geoscience and Remote Sensing Letters 4, no. 4 (October 1, 2007): 629–33. https://doi.org/10.1109/LGRS.2007.903972.Full Text
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Ji, S., and L. Carin. “Bayesian compressive sensing and projection optimization.” Acm International Conference Proceeding Series 227 (August 23, 2007): 377–84. https://doi.org/10.1145/1273496.1273544.Full Text
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Liao, X., H. Li, and L. Carin. “Quadratically gated mixture of experts for incomplete data classification.” Acm International Conference Proceeding Series 227 (August 23, 2007): 553–60. https://doi.org/10.1145/1273496.1273566.Full Text
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Ni, K., L. Carin, and D. Dunson. “Multi-task learning for sequential data via iHMMs and the nested Dirichlet process.” Acm International Conference Proceeding Series 227 (August 23, 2007): 689–96. https://doi.org/10.1145/1273496.1273583.Full Text
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Xue, Y., D. Dunson, and L. Carin. “The matrix stick-breaking process for flexible multi-task learning.” Acm International Conference Proceeding Series 227 (August 23, 2007): 1063–70. https://doi.org/10.1145/1273496.1273630.Full Text
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Liu, D., and L. Carin. “Wideband array imaging of a target situated in an unknown random media.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 1 (August 6, 2007). https://doi.org/10.1109/ICASSP.2007.366734.Full Text
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Ni, K., Y. Qi, and L. Carin. “Multi-aspect target classification and detection via the infinite hidden markov model.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 2 (August 6, 2007). https://doi.org/10.1109/ICASSP.2007.366265.Full Text
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Qi, Y., J. W. Paisley, and L. Carin. “Dirichlet process HMM mixture models with application to music analysis.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 2 (August 6, 2007). https://doi.org/10.1109/ICASSP.2007.366273.Full Text
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Qiuhua, L., L. Xuejun, and L. Carin. “Learning classifiers on a partially labeled data manifold.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 2 (August 6, 2007). https://doi.org/10.1109/ICASSP.2007.366312.Full Text
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Williams, D., C. P. Wang, X. J. Liao, and L. Carin. “Classification of unexploded ordnance using incomplete multisensor multiresolution data.” Ieee Transactions on Geoscience and Remote Sensing 45, no. 7 (July 2007): 2364–73.
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Zhao, Z., N. Kovvali, W. Lin, C. H. Ahn, L. Couchman, and L. Carin. “Volumetric fast multipole method for modeling Schrödinger's equation.” Journal of Computational Physics 224, no. 2 (June 10, 2007): 941–55. https://doi.org/10.1016/j.jcp.2006.11.003.Full Text
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He, L., S. Ji, W. R. Scott, and L. Carin. “Adaptive multimodality sensing of landmines.” Ieee Transactions on Geoscience and Remote Sensing 45, no. 6 (June 1, 2007): 1756–73. https://doi.org/10.1109/TGRS.2007.894933.Full Text
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Ji, S., R. Parr, and L. Carin. “Nonmyopic multiaspect sensing with partially observable Markov decision processes.” Ieee Transactions on Signal Processing 55, no. 6 I (June 1, 2007): 2720–30. https://doi.org/10.1109/TSP.2007.893747.Full Text
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Ji, S., and L. Carin. “Cost-sensitive feature acquisition and classification.” Pattern Recognition 40, no. 5 (May 1, 2007): 1474–85. https://doi.org/10.1016/j.patcog.2006.11.008.Full Text
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Ni, Kai, Yuting Qi, and Lawrence Carin. “Multiaspect target detection via the infinite hidden Markov model.” The Journal of the Acoustical Society of America 121, no. 5 Pt1 (May 2007): 2731–42. https://doi.org/10.1121/1.2714912.Full Text
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Yu, Y., and L. Carin. “Three-dimensional Bayesian inversion with application to subsurface sensing.” Ieee Transactions on Geoscience and Remote Sensing 45, no. 5 (May 1, 2007): 1258–70. https://doi.org/10.1109/TGRS.2007.894932.Full Text
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Liu, D., J. Krolik, and L. Carin. “Electromagnetic Target Detection in Uncertain Media: Time-Reversal and Minimum-Variance Algorithms.” Ieee Transactions on Geoscience and Remote Sensing 45, no. 4 (April 7, 2007): 934–44. https://doi.org/10.1109/TGRS.2006.890411.Full Text
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Zhao, Z., Z. Nie, and L. Carin. “Active learning applied to RCS computations with nonuniform sampling using different objective functions.” Ieee Transactions on Antennas and Propagation 55, no. 4 (April 1, 2007): 1214–17. https://doi.org/10.1109/TAP.2007.893410.Full Text
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Williams, David, Xuejun Liao, Ya Xue, Lawrence Carin, and Balaji Krishnapuram. “On classification with incomplete data.” Ieee Transactions on Pattern Analysis and Machine Intelligence 29, no. 3 (March 2007): 427–36. https://doi.org/10.1109/tpami.2007.52.Full Text
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Liu, D., S. Vasudevan, J. Krolik, G. Bal, and L. Carin. “Electromagnetic time-reversal source localization in changing media: Experiment and analysis.” Ieee Transactions on Antennas and Propagation 55, no. 2 (February 1, 2007): 344–54. https://doi.org/10.1109/TAP.2006.889807.Full Text
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Pruteanu-Malinici, I., and L. Carin. “Infinite hidden Markov models and ISA features for unusual-event detection in video.” Proceedings International Conference on Image Processing, Icip 5 (January 1, 2007). https://doi.org/10.1109/ICIP.2007.4379784.Full Text
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Ya, X., L. Xuejun, L. Carin, and B. Krishnapuram. “Multi-task learning for classification with Dirichlet process priors.” Journal of Machine Learning Research 8 (January 1, 2007): 35–63.
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Carin, L. “Wave-based signal processing.” Ieee Antennas and Propagation Society, Ap S International Symposium (Digest), December 1, 2006, 1253. https://doi.org/10.1109/APS.2006.1710769.Full Text
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Dasgupta, N., J. Shihao, and L. Carin. “Homotopy-based semi-supervised hidden Markov tree for texture analysis.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 2 (December 1, 2006).
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Hui, L., L. Xuejun, and L. Carin. “A reward-directed Bayesian classifier.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 5 (December 1, 2006).
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Kovvali, N., L. Wenbin, Z. Zhiqin, L. Couchman, and L. Carin. “Rapid prolate pseudospectral differentiation and interpolation with the fast multipole method.” Siam Journal on Scientific Computing 28, no. 2 (December 1, 2006): 485–97. https://doi.org/10.1137/050635961.Full Text
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Li, H., X. Liao, and L. Carin. “Region-based value iteration for partially observable Markov decision processes.” Acm International Conference Proceeding Series 148 (December 1, 2006): 561–68. https://doi.org/10.1145/1143844.1143915.Full Text
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Stack, J. R., R. Arrieta, X. Liao, and L. Carin. “A kernel machine framework for feature optimization in multi-frequency sonar imagery.” Oceans 2006, December 1, 2006. https://doi.org/10.1109/OCEANS.2006.307121.Full Text
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Li, H., X. Liao, and L. Carin. “Incremental least squares policy iteration for POMDPs.” Proceedings of the National Conference on Artificial Intelligence 2 (November 13, 2006): 1167–72.
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Li, H., X. Liao, and L. Carin. “Region-based value iteration for partially observable Markov decision processes.” Icml 2006 Proceedings of the 23rd International Conference on Machine Learning 2006 (October 6, 2006): 561–68.
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Lin, W., N. Kovvali, and L. Carin. “Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation.” Computer Physics Communications 175, no. 2 (July 15, 2006): 78–85. https://doi.org/10.1016/j.cpc.2006.02.006.Full Text
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Dasgupta, N., and L. Carin. “Texture analysis with variational hidden Markov trees.” Ieee Transactions on Signal Processing 54, no. 6 I (June 1, 2006): 2352–56. https://doi.org/10.1109/TSP.2006.872588.Full Text
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Ji, Shihao, Balaji Krishnapuram, and Lawrence Carin. “Variational Bayes for continuous hidden Markov models and its application to active learning.” Ieee Transactions on Pattern Analysis and Machine Intelligence 28, no. 4 (April 2006): 522–32. https://doi.org/10.1109/tpami.2006.85.Full Text
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Chang, Shaorong, and Lawrence Carin. “A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 15, no. 3 (March 2006): 713–25. https://doi.org/10.1109/tip.2005.860595.Full Text
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Chen, Y., W. T. Joines, Z. Xie, G. Shi, Q. H. Liu, and L. Carin. “Double-sided exponentially tapered GPR antenna and its transmission line feed structure.” Ieee Transactions on Antennas and Propagation 54, no. 9 (2006): 2615–22. https://doi.org/10.1109/TAP.2006.880729.Full Text
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Kovvali, N., W. Lin, and L. Carin. “Pseudospectral method based on prolate spheroidal wave functions for frequency-domain electromagnetic simulations.” Ieee Transactions on Antennas and Propagation 53, no. 12 (December 1, 2005): 3990–4000. https://doi.org/10.1109/TAP.2005.859899.Full Text
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Liao, X., and L. Carin. “Radial basis function network for multi-task learning.” Advances in Neural Information Processing Systems, December 1, 2005, 795–802.
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Williams, D., X. Liao, Y. Xue, and L. Carin. “Incomplete-data classification using logistic regression.” Icml 2005 Proceedings of the 22nd International Conference on Machine Learning, December 1, 2005, 977–84.
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Lin, W., N. Kovvali, and L. Carin. “Direct algorithm for computation of derivatives of the Daubechies basis functions.” Applied Mathematics and Computation 170, no. 2 (November 15, 2005): 1006–13. https://doi.org/10.1016/j.amc.2004.12.038.Full Text
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Kovvali, N., W. Lin, and L. Carin. “Image technique for multiresolution time-domain using nonsymmetric basis functions.” Microwave and Optical Technology Letters 47, no. 1 (October 5, 2005): 44–47. https://doi.org/10.1002/mop.21076.Full Text
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Ji, S., X. Liao, and L. Carin. “Adaptive multiaspect target classification and detection with hidden Markov models.” Ieee Sensors Journal 5, no. 5 (October 1, 2005): 1035–42. https://doi.org/10.1109/JSEN.2005.847936.Full Text
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Zhao, Z., C. H. Ahn, and L. Carin. “Nonuniform frequency sampling with active learning: Application to wide-band frequency-domain modeling and design.” Ieee Transactions on Antennas and Propagation 53, no. 9 (September 1, 2005): 3049–57. https://doi.org/10.1109/TAP.2005.854540.Full Text
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Lin, W., N. Kovvali, and L. Carin. “Ridgelet-based implementation of multiresolution time domain.” Ieee Transactions on Antennas and Propagation 53, no. 8 II (August 1, 2005): 2688–99. https://doi.org/10.1109/TAP.2005.851756.Full Text
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Dong, Y., S. Chang, and L. Carin. “Rate-distortion bound for joint compression and classification with application to multiaspect scattering.” Ieee Sensors Journal 5, no. 3 (June 1, 2005): 481–92. https://doi.org/10.1109/JSEN.2005.844338.Full Text
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Krishnapuram, Balaji, Lawrence Carin, Mário A. T. Figueiredo, and Alexander J. Hartemink. “Sparse multinomial logistic regression: fast algorithms and generalization bounds.” Ieee Transactions on Pattern Analysis and Machine Intelligence 27, no. 6 (June 2005): 957–68. https://doi.org/10.1109/tpami.2005.127.Full Text
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Zhao, Z., L. Li, J. Smith, and L. Carin. “Analysis of scattering from very large three-dimensional rough surfaces using MLFMM and ray-based analyses.” Ieee Antennas and Propagation Magazine 47, no. 3 (June 1, 2005): 20–30. https://doi.org/10.1109/MAP.2005.1532538.Full Text
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Kovvali, N., W. Lin, and L. Carin. “Order of accuracy analysis for multiresolution time-domain using daubechies bases.” Microwave and Optical Technology Letters 45, no. 4 (May 20, 2005): 290–93. https://doi.org/10.1002/mop.20798.Full Text
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Dasgupta, Nilanjan, and Lawrence Carin. “Time-reversal imaging for classification of submerged elastic targets via Gibbs sampling and the Relevance Vector Machine.” The Journal of the Acoustical Society of America 117, no. 4 Pt 1 (April 2005): 1999–2011. https://doi.org/10.1121/1.1862592.Full Text
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Dura, E., Y. Zhang, X. Liao, G. J. Dobeck, and L. Carin. “Active learning for detection of mine-like objects in side-scan sonar imagery.” Ieee Journal of Oceanic Engineering 30, no. 2 (April 1, 2005): 360–71. https://doi.org/10.1109/JOE.2005.850931.Full Text
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Chang, S., N. Dasgupta, and L. Carin. “A bayesian approach to unsupervised feature selection and density estimation using expectation propagation.” Proceedings 2005 Ieee Computer Society Conference on Computer Vision and Pattern Recognition, Cvpr 2005 II (January 1, 2005): 1043–50. https://doi.org/10.1109/CVPR.2005.15.Full Text
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Liao, X., Y. Xue, and L. Carin. “Logistic regression with an auxiliary data source.” Icml 2005 Proceedings of the 22nd International Conference on Machine Learning, January 1, 2005, 505–12. https://doi.org/10.1145/1102351.1102415.Full Text
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Liu, D., G. Kang, L. Li, Y. Chen, S. Vasudevan, W. Joines, Q. H. Liu, J. Krolik, and L. Carin. “Electromagnetic time-reversal imaging of a target in a cluttered environment.” Ieee Transactions on Antennas and Propagation 53, no. 9 (2005): 3058–66. https://doi.org/10.1109/TAP.2005.854563.Full Text
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Chen, Y., W. T. Joines, M. Chai, Q. H. Liu, and L. Carin. “Analysis, design, and construction of a broadband balun for coaxial-to-planar transmission lines.” Microwave and Optical Technology Letters 44, no. 6 (2005): 501–4. https://doi.org/10.1002/mop.20679.Full Text
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Dalichaouch, Y., B. Whitecotton, T. McManus, S. Kuhn, H. Trammell, R. Shelby, and L. Carin. “Wideband frequency response of low metal mines.” Proceedings of Spie the International Society for Optical Engineering 5415, no. PART 1 (December 20, 2004): 275–82. https://doi.org/10.1117/12.547340.Full Text
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Yu, Y., B. Krishnapuram, and L. Carin. “Inverse scattering with sparse Bayesian vector regression.” Inverse Problems 20, no. 6 (December 1, 2004). https://doi.org/10.1088/0266-5611/20/6/S13.Full Text
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Zhang, Y., X. Liao, and L. Carin. “Detection of buried targets via active selection of labeled data: Application to sensing subsurface UXO.” Ieee Transactions on Geoscience and Remote Sensing 42, no. 11 (November 1, 2004): 2535–43. https://doi.org/10.1109/TGRS.2004.836270.Full Text
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Dasgupta, N., and L. Carin. “Time-reversal imaging and classification for distant targets in a shallow water channel.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 2 (October 7, 2004).
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Ji, S., X. Liao, and L. Carin. “Adaptive multi-aspect target classification and detection with hidden Markov models.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 2 (October 7, 2004).
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Chang, S., and L. Carin. “Kernel matching pursuits prioritization of wavelet coefficients for SPIHT image coding.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 3 (September 28, 2004).
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Krishnapuram, Balaji, Alexander J. Hartemink, Lawrence Carin, and Mário A. T. Figueiredo. “A Bayesian approach to joint feature selection and classifier design.” Ieee Transactions on Pattern Analysis and Machine Intelligence 26, no. 9 (September 2004): 1105–11. https://doi.org/10.1109/tpami.2004.55.Full Text
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Liao, Xuejun, and Lawrence Carin. “Application of the theory of optimal experiments to adaptive electromagnetic-induction sensing of buried targets.” Ieee Transactions on Pattern Analysis and Machine Intelligence 26, no. 8 (August 2004): 961–72. https://doi.org/10.1109/tpami.2004.38.Full Text
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Kovvali, N., and L. Carin. “Analysis of wideband forward looking synthetic aperture radar for sensing land mines.” Radio Science 39, no. 4 (July 1, 2004). https://doi.org/10.1029/2003RS002967.Full Text
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Zhu, X., and L. Carin. “Application of the biorthogonal multiresolution time-domain method to the analysis of elastic-wave interactions with buried targets.” Ieee Transactions on Geoscience and Remote Sensing 42, no. 7 (July 1, 2004): 1502–11. https://doi.org/10.1109/TGRS.2004.828191.Full Text
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Yu, Y., T. Yu, and L. Carin. “Three-dimensional inverse scattering of a dielectric target embedded in a lossy half-space.” Ieee Transactions on Geoscience and Remote Sensing 42, no. 5 (May 1, 2004): 957–73. https://doi.org/10.1109/TGRS.2003.820601.Full Text
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Liu, H., P. Runkle, L. Carin, T. Yoder, T. Giddings, L. Couchman, and J. Bucaro. “Classification of distant targets situated near channel bottoms.” Journal of the Acoustical Society of America 115, no. 3 (March 1, 2004): 1185–97. https://doi.org/10.1121/1.1643363.Full Text
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Carin, Lawrence, Hongwei Liu, Timothy Yoder, Luise Couchman, Brian Houston, and Joseph Bucaro. “Wideband time-reversal imaging of an elastic target in an acoustic waveguide.” The Journal of the Acoustical Society of America 115, no. 1 (January 2004): 259–68. https://doi.org/10.1121/1.1632482.Full Text
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Krishnapuram, Balaji, Lawrence Carin, and Alexander J. Hartemink. “Joint classifier and feature optimization for comprehensive cancer diagnosis using gene expression data.” Journal of Computational Biology : A Journal of Computational Molecular Cell Biology 11, no. 2–3 (January 2004): 227–42. https://doi.org/10.1089/1066527041410463.Full Text
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Liu, D., L. He, and L. Carin. “Airport detection in large aerial optical imagery.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 5 (2004): V-761-V–764.
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Nishimoto, M., X. Liao, and L. Carin. “Target identification from multi-aspect high range-resolution radar signatures using a hidden Markov model.” Ieice Transactions on Electronics E87-C, no. 10 (January 1, 2004): 1706–14.
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Zhang, Y., X. Liao, E. Dura, and L. Carin. “Active selection of labeled data for target detection.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 5 (2004): V-465-V–468.
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Chen, Y., Z. Xie, G. Shi, W. T. Joines, Q. H. Liu, and L. Carin. “Time-domain target detection using a double-sided broadband antenna.” Ieee Antennas and Propagation Society, Ap S International Symposium (Digest) 3 (2004): 2999–3002.
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Dong, Xiaolong, Zhijun Liu, and Lawrence Carin. “Volumetric MLFMA formulation for dielectric targets in the presence of a half-space.” Radio Science 39, no. 2 (2004).
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Li, Ling, and Lawrence Carin. “Multilevel fast multipole calibration of ray models with application to wireless propagation.” Ieee Transactions on Antennas and Propagation 52, no. 10 (2004): 2794–99. https://doi.org/10.1109/TAP.2004.834623.Full Text Link to Item
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Carin, L., and G. Dobeck. “Relevance vector machine feature selection and classification for underwater targets.” Oceans Conference Record (Ieee) 2 (December 1, 2003): 1110.
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Carin, L., and L. Couchman. “Time-reversal imaging of distant targets in a shallow water channel.” Oceans Conference Record (Ieee) 2 (December 1, 2003): 911.
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Dong, Y., and L. Carin. “Quantization of Multiaspect Scattering Data: Target Classification and Pose Estimation.” Ieee Transactions on Signal Processing 51, no. 12 (December 1, 2003): 3105–14. https://doi.org/10.1109/TSP.2003.818998.Full Text
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Dalichaouch, Y., B. Whitecotton, H. Trammell, R. Shelby, and L. Carin. “Broadband frequency-domain magnetic system for landmine/UXO detection and discrimination.” Proceedings of Spie the International Society for Optical Engineering 5089, no. 1 (November 26, 2003): 701–6. https://doi.org/10.1117/12.487444.Full Text
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Zhu, X., T. Dogaru, and L. Carin. “Analysis of the CDF biorthogonal MRTD method with application to PEC targets.” Ieee Transactions on Microwave Theory and Techniques 51, no. 9 (September 1, 2003): 2015–22. https://doi.org/10.1109/TMTT.2003.815874.Full Text
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Liu, Z., and L. Carin. “MLFMA-based quasi-direct analysis of scattering from electrically large targets.” Ieee Transactions on Antennas and Propagation 51, no. 8 (August 1, 2003): 1877–82. https://doi.org/10.1109/TAP.2003.814749.Full Text
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Dong, Y., and L. Carin. “Rate-distortion analysis of discrete-HMM pose estimation via multiaspect scattering data.” Ieee Transactions on Pattern Analysis and Machine Intelligence 25, no. 7 (July 1, 2003): 872–83. https://doi.org/10.1109/TPAMI.2003.1206516.Full Text
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Zhang, Y., L. Collins, H. Yu, C. E. Baum, and L. Carin. “Sensing of unexploded ordnance with magnetometer and induction data: Theory and signal processing.” Ieee Transactions on Geoscience and Remote Sensing 41, no. 5 PART 1 (May 1, 2003): 1005–15. https://doi.org/10.1109/TGRS.2003.810922.Full Text
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Zhu, X., T. Dogaru, and L. Carin. “Three-dimensional biorthogonal multiresolution time-domain method and its application to electromagnetic scattering problems.” Ieee Transactions on Antennas and Propagation 51, no. 5 (May 1, 2003): 1085–92. https://doi.org/10.1109/TAP.2003.811527.Full Text
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Zhu, Xianyang, Lawrence Carin, and Traian Dogaru. “Parallel implementation of the biorthogonal multiresolution time-domain method.” Journal of the Optical Society of America. A, Optics, Image Science, and Vision 20, no. 5 (May 2003): 844–55. https://doi.org/10.1364/josaa.20.000844.Full Text
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Dasgupta, N., P. Runkle, L. Carin, L. Couchman, T. Yoder, J. Bucaro, and G. J. Dobeck. “Class-based target identification with multiaspect scattering data.” Ieee Journal of Oceanic Engineering 28, no. 2 (April 1, 2003): 271–82. https://doi.org/10.1109/JOE.2003.811899.Full Text
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Krishnapuram, B., J. Sichina, and L. Carin. “Physics-based detection of targets in SAR imagery usingsupport vector machines.” Ieee Sensors Journal 3, no. 2 (April 1, 2003): 147–57. https://doi.org/10.1109/JSEN.2002.805552.Full Text
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Li, Ling, Jiangqi He, Zhijun Liu, Xiaolong Dong, and Lawrence Carin. “MLFMA analysis of scattering from multiple targets in the presence of a half-space.” Ieee Transactions on Antennas and Propagation 51, no. 4 (2003): 810–19. https://doi.org/10.1109/TAP.2003.811084.Full Text Link to Item
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Zhang, Y., L. M. Collins, and L. Carin. “Unexploded ordnance detection using Bayesian physics-based data fusion.” Integrated Computer Aided Engineering 10, no. 3 (January 1, 2003): 231–47. https://doi.org/10.3233/ica-2003-10302.Full Text
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Dasgupta, N., and L. Carin. “Context-based graphical modeling for wavelet domain signal processing.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 3 (January 1, 2003): 485–88.
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Li, Ling, Zhijun Liu, Xiaolong Dong, James A. Thompson, and Lawrence Carin. “Scalable multilevel fast multipole method for multiple targets in the vicinity of a half space.” Ieee Transactions on Geoscience and Remote Sensing 41, no. 4 PART I (2003): 791–802. https://doi.org/10.1109/TGRS.2003.811074.Full Text Link to Item
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Liao, X., and L. Carin. “ICA with multiple quadratic constraints.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 5 (January 1, 2003): 313–16.
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Liu, H., N. Dasgupta, and L. Carin. “Time-Reversal Imaging for Wideband Underwater Target Classification.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 5 (January 1, 2003): 5–8.
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Liu, Zhijun, Robert J. Adams, and Lawrence Carin. “Well-Conditioned MLFMA Formulation for Closed PEC Targets in the Vicinity of a Half Space.” Ieee Transactions on Antennas and Propagation 51, no. 10 II (2003): 2822–29. https://doi.org/10.1109/TAP.2003.817981.Full Text Link to Item
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Dasgupta, N., S. Lin, and L. Carin. “Sequential modeling for identifying CpG island locations in human genome.” Ieee Signal Processing Letters 9, no. 12 (December 1, 2002): 407–9. https://doi.org/10.1109/LSP.2002.806062.Full Text
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Krishnapuram, B., and L. Carin. “Support vector machines for improved multiaspect target recognition using the fisher kernel scores of hidden Markov models.” Proceedings of the Joint Conference on Information Sciences 6 (December 1, 2002): 354–57.
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Bharadwaj, P., and L. Carin. “Infrared-image classification using hidden Markov trees.” Ieee Transactions on Pattern Analysis and Machine Intelligence 24, no. 10 (October 1, 2002): 1394–98. https://doi.org/10.1109/TPAMI.2002.1039210.Full Text
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Liao, X., P. Runkle, and L. Carin. “Identification of ground targets from sequential high-range-resolution radar signatures.” Ieee Transactions on Aerospace and Electronic Systems 38, no. 4 (October 1, 2002): 1230–42. https://doi.org/10.1109/TAES.2002.1145746.Full Text
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Dogaru, T., and L. Carin. “Scattering analysis by the multiresolution time-domain method using compactly supported wavelet systems.” Ieee Transactions on Microwave Theory and Techniques 50, no. 7 (July 1, 2002): 1752–60. https://doi.org/10.1109/TMTT.2002.800426.Full Text
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Dogaru, T., and L. Carin. “Application of Haar-wavelet-based multiresolution time-domain schemes to electromagnetic scattering problems.” Ieee Transactions on Antennas and Propagation 50, no. 6 (June 1, 2002): 774–84. https://doi.org/10.1109/TAP.2002.1017657.Full Text
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Carin, L., J. Sichina, and J. F. Harvey. “Microwave underground propagation and detection.” Ieee Transactions on Microwave Theory and Techniques 50, no. 3 (March 1, 2002): 945–52. https://doi.org/10.1109/22.989977.Full Text
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Chang, S., N. Nasrabadi, and L. Carin. “Infrared-image classification using support vector machines.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 4 (January 1, 2002): 4168. https://doi.org/10.1109/ICASSP.2002.5745606.Full Text
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Krishnapuram, B., and L. Carin. “Support vector machines for improved multiaspect target recognition using the Fisher kernel scores of Hidden Markov Models.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 3 (January 1, 2002). https://doi.org/10.1109/icassp.2002.5745277.Full Text
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Liao, X., N. Dasgupta, S. M. Lin, and L. Carin. “ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 4 (January 1, 2002): 3880–83. https://doi.org/10.1109/ICASSP.2002.5745504.Full Text
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Liu, H., and L. Carin. “Class-based target classification in shallow water channel based on hidden Markov model.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 3 (January 1, 2002). https://doi.org/10.1109/icassp.2002.5745252.Full Text
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Lu, J., and L. Carin. “HMM-based multiresolution image segmentation.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 4 (January 1, 2002). https://doi.org/10.1109/icassp.2002.5745373.Full Text
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Yu, T., and L. Carin. “Parallel extended-born analysis of electromagnetic scattering from 3-Dimensional sub-rough surface targets.” Ieee Antennas and Propagation Society, Ap S International Symposium (Digest) 4 (January 1, 2002): 260–63. https://doi.org/10.1109/APS.2002.1016973.Full Text
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Carin, Lawrence, Norbert Geng, Mark McClure, Yanting Dong, Zhijun Liu, Jiangqi He, Jeffrey Sichina, Marc Ressler, Lam Nguyen, and Anders Sullivan. “Wide-area detection of land mines and unexploded ordnance.” Inverse Problems 18, no. 3 (2002): 575–609. https://doi.org/10.1088/0266-5611/18/3/305.Full Text Link to Item
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Liu, Zhijun, Jiangqi He, Yongjun Xie, Anders Sullivan, and Lawrence Carin. “Multilevel fast multipole algorithm for general targets on a half-space interface.” Ieee Transactions on Antennas and Propagation 50, no. 12 (2002): 1838–49. https://doi.org/10.1109/TAP.2002.807425.Full Text Link to Item
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Dogaru, T., and L. Carin. “Efficient time-domain electromagnetic analysis using CDF biorthogonal wavelet expansion.” Ieee Mtt S International Microwave Symposium Digest 1 (December 1, 2001): 2019–22.
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He, J., A. Sullivan, and L. Carin. “Multilevel fast multipole algorithm for general dielectric targets in the presence of a lossy half-space.” Radio Science 36, no. 6 (November 1, 2001): 1271–85. https://doi.org/10.1029/2000RS002548.Full Text
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Zhu, X., and L. Carin. “Multiresolution time-domain analysis of plane-wave scattering from general three-dimensional surface and subsurface dielectric targets.” Ieee Transactions on Antennas and Propagation 49, no. 11 (November 1, 2001): 1568–78. https://doi.org/10.1109/8.964093.Full Text
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He, J., N. Geng, L. Nguyen, and L. Carin. “Rigorous Modeling of ultrawideband VHF scattering from tree trunks over flat and sloped terrain.” Ieee Transactions on Geoscience and Remote Sensing 39, no. 10 (October 1, 2001): 2182–93. https://doi.org/10.1109/36.957281.Full Text
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Dogaru, T., and L. Carin. “Time-domain sensing of targets buried under a Gaussian, exponential, or fractal rough interface.” Ieee Transactions on Geoscience and Remote Sensing 39, no. 8 (September 1, 2001): 1807–19. https://doi.org/10.1109/36.942559.Full Text
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Jones, E., P. Runkle, N. Dasgupta, L. Couchman, and L. Carin. “Genetic algorithm wavelet design for signal classification.” Ieee Transactions on Pattern Analysis and Machine Intelligence 23, no. 8 (August 1, 2001): 890–95. https://doi.org/10.1109/34.946991.Full Text
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Xie, Y., J. He, A. Sullivan, and L. Carin. “Quasi-tem analysis of a novel coplanar waveguide and coupled structure.” Microwave and Optical Technology Letters 30, no. 1 (July 5, 2001): 49–51. https://doi.org/10.1002/mop.1217.Full Text
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Dogaru, T., and L. Carin. “Multiresolution time-domain using CDF biorthogonal wavelets.” Ieee Transactions on Microwave Theory and Techniques 49, no. 5 (June 18, 2001): 902–12. https://doi.org/10.1109/22.920147.Full Text
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Carin, L. “IEEE transactions on geoscience and remote sensing: Foreword.” Ieee Transactions on Geoscience and Remote Sensing 39, no. 6 (June 1, 2001): 1107. https://doi.org/10.1109/TGRS.2001.927415.Full Text
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Carin, L., H. Yu, Y. Dalichaouch, A. R. Perry, P. V. Czipott, and C. E. Baum. “On the wideband EMI response of a rotationally symmetric permeable and conducting target.” Ieee Transactions on Geoscience and Remote Sensing 39, no. 6 (June 1, 2001): 1206–13. https://doi.org/10.1109/36.927442.Full Text
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Dasgupta, N., P. Runkle, L. Couchman, and L. Carin. “Dual hidden Markov model for characterizing wavelet coefficients from multi-aspect scattering data.” Signal Processing 81, no. 6 (June 1, 2001): 1303–16. https://doi.org/10.1016/S0165-1684(00)00262-0.Full Text
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Dong, Y., P. R. Runkle, L. Carin, R. Damarla, A. Sullivan, M. A. Ressler, and J. Sichina. “Multi-aspect detection of surface and shallow-buried unexploded ordnance via ultra-wideband synthetic aperture radar.” Ieee Transactions on Geoscience and Remote Sensing 39, no. 6 (June 1, 2001): 1259–70. https://doi.org/10.1109/36.927448.Full Text
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Geng, N., A. Sullivan, and L. Carin. “Fast multipole method for scattering from an arbitrary PEC target above or buried in a lossy half space.” Ieee Transactions on Antennas and Propagation 49, no. 5 (May 1, 2001): 740–47. https://doi.org/10.1109/8.929628.Full Text
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He, J., A. Sullivan, and L. Carin. “Multilevel fast multipole algorithm for three-dimensional dielectric targets in the vicinity of a lossy half space.” Microwave and Optical Technology Letters 29, no. 2 (April 20, 2001): 100–104. https://doi.org/10.1002/mop.1097.Full Text
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Dogaru, T., L. Collins, and L. Carin. “Optimal time-domain detection of a deterministic target buried under a randomly rough interface.” Ieee Transactions on Antennas and Propagation 49, no. 3 (March 1, 2001): 313–26. https://doi.org/10.1109/8.918604.Full Text
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Bharadwaj, P., P. Runkle, L. Carin, J. A. Berrie, and J. A. Hughes. “Multiaspect classification of airborne targets via physics-based HMMs and matching pursuits.” Ieee Transactions on Aerospace and Electronic Systems 37, no. 2 (January 1, 2001): 595–606. https://doi.org/10.1109/7.937471.Full Text
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Jones, E., B. Krishnapuram, J. Pormann, J. Board, and L. Carin. “An electromagnetic simulation environment.” Proceedings of Spie the International Society for Optical Engineering 4367 (January 1, 2001): 137–43. https://doi.org/10.1117/12.440013.Full Text
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Runkle, P., L. H. Nguyen, J. H. McClellan, and L. Carin. “Multi-aspect target detection for SAR imagery using hidden Markov models.” Ieee Transactions on Geoscience and Remote Sensing 39, no. 1 (January 1, 2001): 46–55. https://doi.org/10.1109/36.898664.Full Text
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Xie, Y., J. He, A. Sullivan, and L. Carin. “A simple preconditioner for electric-field integral equations.” Microwave and Optical Technology Letters 30, no. 1 (January 1, 2001): 51–54. https://doi.org/10.1002/mop.1218.Full Text
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Bharadwaj, P., P. Runkle, and L. Carin. “Infrared-image classification using expansion matching filters and hidden Markov trees.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 3 (January 1, 2001): 1553–56.
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Collins, L. M., Y. Zhang, J. Li, H. Wang, L. Carin, S. J. Hart, S. L. Rose Pehrsson, H. H. Nelson, and J. R. McDonald. “A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection.” Ieee Transactions on Fuzzy Systems 9, no. 1 (2001): 17–30. https://doi.org/10.1109/91.917111.Full Text Link to Item
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Dasgupta, N., P. Runkle, and L. Carin. “Class-based identification of underwater targets using hidden Markov models.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 5 (January 1, 2001): 3161–64.
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Dong, Y., P. Runkle, and L. Carin. “Markov modeling of transient scattering and its application in multi-aspect target classification.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 5 (January 1, 2001): 2841–44.
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Liao, X., P. Runkle, Y. Jiao, and L. Carin. “Identification of ground targets from sequential HRR radar signatures.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 5 (January 1, 2001): 2897–2900.
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Liu, Z., and L. Carin. “Efficient evaluation of the half-space Green's function for fast-multipole scattering models.” Microwave and Optical Technology Letters 29, no. 6 (2001): 388–92. https://doi.org/10.1002/mop.1186.Full Text Link to Item
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Runkle, P., L. Carin, and L. Nguyen. “Multi-aspect target classification using hidden Markov models for data fusion.” International Geoscience and Remote Sensing Symposium (Igarss) 5 (December 1, 2000): 2123–25.
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Sullivan, A., R. Damarla, N. Geng, Y. Dong, and L. Carin. “Ultrawide-band synthetic aperture radar for detection of unexploded ordnance: Modeling and measurements.” Ieee Transactions on Antennas and Propagation 48, no. 9 (December 1, 2000): 1306–15. https://doi.org/10.1109/8.898763.Full Text
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Yu, T., H. Wang, B. Zhu, W. Cai, and L. Carin. “3D surface mesh generator for electromagnetic field problems.” Ieee Antennas and Propagation Society, Ap S International Symposium (Digest) 4 (December 1, 2000): 2162–65.
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Yu, T., W. Cai, and L. Carin. “Method of moments analysis of a band-pass filter.” Ieee Antennas and Propagation Society, Ap S International Symposium (Digest) 2 (December 1, 2000): 804–7.
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Dogaru, T., and L. Carin. “Multiresolution time domain analysis of scattering from a rough dielectric surface.” Radio Science 35, no. 6 (November 1, 2000): 1279–92. https://doi.org/10.1029/1999RS002294.Full Text
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Dogaru, Traian, and Lawrence Carin. “Time-domain sensing of targets buried under a general rough air-ground interface.” Edited by Abinash C. Dubey, James F. Harvey, J Thomas Broach, and Regina E. Dugan. Spie Proceedings, August 22, 2000. https://doi.org/10.1117/12.396178.Full Text
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Geng, N., A. Sullivan, and L. Carin. “Multilevel fast-multipole algorithm for scattering from conducting targets above or embedded in a lossy half space.” Ieee Transactions on Geoscience and Remote Sensing 38, no. 4 I (July 1, 2000): 1561–73. https://doi.org/10.1109/36.851956.Full Text
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He, J., T. Yu, N. Geng, and L. Carin. “Method of moments analysis of electromagnetic scattering from a general three-dimensional dielectric target embedded in a multilayered medium.” Radio Science 35, no. 2 (March 1, 2000): 305–13. https://doi.org/10.1029/1999RS002230.Full Text
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Rao, B., and L. Carin. “Hybrid scheme for inverse scattering of electrically large regions.” Radio Science 35, no. 2 (March 1, 2000): 315–29. https://doi.org/10.1029/1999RS002205.Full Text
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Carin, L., A. Sullivan, and N. Geng. “Multi-level fast multipole method for large surface and subsurface targets.” Proceedings of Spie the International Society for Optical Engineering 4033 (January 1, 2000): 74–79.
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Dasgupta, N., P. Runkle, L. Couchman, and L. Carin. “Dual hidden Markov model characterization of wavelet coefficients from multi-aspect scattering data.” Proceedings of Spie the International Society for Optical Engineering 4038 (II) (January 1, 2000): 954–65. https://doi.org/10.1117/12.396179.Full Text
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Dogaru, T., and L. Carin. “Time-domain sensing of targets buried under a general rough air-ground interface.” Proceedings of Spie the International Society for Optical Engineering 4038 (January 1, 2000).
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Jones, E., P. Runkle, N. Dasgupta, and L. Carin. “Signal adaptive wavelet design using genetic algorithms.” Proceedings of Spie the International Society for Optical Engineering 4056 (January 1, 2000): 362–71.
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Runkle, P., L. Nguyen, and L. Carin. “Multi-aspect target detection for SAR imagery using hidden Markov models and two-dimensional matching pursuits.” Proceedings of Spie the International Society for Optical Engineering 4053 (January 1, 2000): 251–59.
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Sullivan, A., N. Geng, and L. Carin. “Rigorous electromagnetic modeling of targets concealed in tree foliage.” Proceedings of Spie the International Society for Optical Engineering 4033 (January 1, 2000): 62–73.
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Sullivan, A., T. R. Damarla, N. Geng, Y. Dong, and L. Carin. “Detection of above ground and subsurface unexploded ordnance using ultra-wideband (UWB) synthetic aperture radar (SAR) and electromagnetic modeling tools.” Proceedings of Spie the International Society for Optical Engineering 4038 (II) (January 1, 2000): 983–92. https://doi.org/10.1117/12.396182.Full Text
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Bharadwaj, P. K., P. R. Runkle, and L. Carin. “Target identification with wave-based matched pursuits and hidden Markov models.” Ieee Transactions on Antennas and Propagation 47, no. 10 (December 1, 1999): 1543–54. https://doi.org/10.1109/8.805897.Full Text
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Collins, L., P. Gao, and L. Carin. “An improved bayesian decision theoretic approach for land mine detection.” Ieee Transactions on Geoscience and Remote Sensing 37, no. 2 I (December 1, 1999): 811–19. https://doi.org/10.1109/36.752197.Full Text
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Geng, N., A. Sullivan, and L. Carin. “Fast multipole method for scattering from an arbitrary perfectly conducting target above or below a lossy half space.” International Geoscience and Remote Sensing Symposium (Igarss) 3 (December 1, 1999): 1829–31.
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Geng, N., D. R. Jackson, and L. Carin. “On the resonances of a dielectric BOR buried in a dispersive layered medium.” Ieee Transactions on Antennas and Propagation 47, no. 8 (December 1, 1999): 1305–13. https://doi.org/10.1109/8.791948.Full Text
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Geng, N., L. Carin, M. Ressler, and B. Merchant. “Ultrawideband SAR for detection of subsurface unexploded ordnance (UXO): measurement, modeling and signal processing.” Proceedings of Spie the International Society for Optical Engineering 3704 (December 1, 1999): 75–83.
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Loubriel, G. M., J. F. Aurand, G. J. Denison, L. F. Rinehart, D. J. Brown, F. J. Zutavern, A. Mar, M. W. O’Malley, W. D. Helgeson, and L. Carin. “Optically-activated GaAs switches for ground penetrating radar and firing set applications.” Digest of Technical Papers Ieee International Pulsed Power Conference 2 (December 1, 1999): 673–76.
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Ressler, M., B. Merchant, D. Wong, L. Nguyen, N. Geng, and L. Carin. “Calibration of the ARL BoomSAR using rigorous scattering models for fiducial targets over ground.” Proceedings of Spie the International Society for Optical Engineering 3704 (December 1, 1999): 50–56.
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Dasgupta, N., N. Geng, T. Dogaru, and L. Carin. “On the extended-Born technique for scattering from buried dielectric targets.” Ieee Transactions on Antennas and Propagation 47, no. 11 (November 1, 1999): 1739–42. https://doi.org/10.1109/8.814956.Full Text
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Runkle, P., L. Carin, L. Couchman, J. A. Bucaro, and T. J. Yoder. “Multiaspect identification of submerged elastic targets via wave-based matching pursuits and hidden Markov models.” Journal of the Acoustical Society of America 106, no. 2 (August 20, 1999): 605–16. https://doi.org/10.1121/1.427029.Full Text
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Geng, N., and L. Carin. “Wide-band electromagnetic scattering from a dielectric BOR buried in a layered lossy dispersive medium.” Ieee Transactions on Antennas and Propagation 47, no. 4 (April 1999): 610–19. https://doi.org/10.1109/8.768799.Full Text
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Carin, L., N. Geng, M. McClure, J. Sichina, and L. Nguyen. “Ultra-wide-band synthetic-aperture radar for mine-field detection.” Ieee Antennas and Propagation Magazine 41, no. 1 (February 1, 1999): 18–33. https://doi.org/10.1109/74.755021.Full Text
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Carin, L., G. Ybarra, P. Bharadwaj, and P. Runkle. “Physics-based classification of targets in SAR imagery using subaperture sequences.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings 6 (January 1, 1999): 3341–44. https://doi.org/10.1109/icassp.1999.757557.Full Text
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Carin, L., I. J. Won, and D. Keiswetter. “Wideband frequency- and time-domain EMI for mine detection.” Proceedings of Spie the International Society for Optical Engineering 3710, no. I (January 1, 1999): 14–25.
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Geng, N., and L. Carin. “Short-pulse electromagnetic scattering from arbitrarily oriented subsurface ordnance.” Ieee Transactions on Geoscience and Remote Sensing 37, no. 4 (January 1, 1999): 2111–13. https://doi.org/10.1109/36.774726.Full Text
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Rao, B., and L. Carin. “Beam-tracing-based inverse scattering for general aperture antennas.” Journal of the Optical Society of America A: Optics and Image Science, and Vision 16, no. 9 (January 1, 1999): 2219–31. https://doi.org/10.1364/JOSAA.16.002219.Full Text
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Runkle, P. R., P. K. Bharadwaj, L. Couchman, and L. Carin. “Hidden Markov models for multiaspect target classification.” Ieee Transactions on Signal Processing 47, no. 7 (January 1, 1999): 2035–40. https://doi.org/10.1109/78.771050.Full Text
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Runkle, P., L. Carin, L. Couchman, J. A. Bucaro, and T. J. Yoder. “Multi-aspect acoustic identification of submerged elastic targets via wave-based matching pursuits and continuous hidden Markov models.” Proceedings of Spie the International Society for Optical Engineering 3718 (January 1, 1999): 459–67.
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Runkle, P., L. Nguyen, G. Ybarra, and L. Carin. “Multi-aspect target detection in SAR imagery using hidden Markov models.” Proceedings of Spie the International Society for Optical Engineering 3721 (January 1, 1999): 214–23.
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Sullivan, A., J. He, N. Geng, and L. Carin. “Phenomenological modeling for FOPEN SAR: Tree-trunk scattering on flat terrain and with concealed targets.” Proceedings of Spie the International Society for Optical Engineering 3721 (January 1, 1999): 224–34.
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Sullivan, A., N. Geng, L. Carin, L. Nguyen, and J. Sichina. “Performance analysis for radar detection of buried anti-tank and anti-personnel land mines.” Proceedings of Spie the International Society for Optical Engineering 3710, no. II (January 1, 1999): 1043–50.
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Sullivan, A., and L. Carin. “Scattering from complex bodies using a combined direct and iterative technique.” Ieee Transactions on Antennas and Propagation 47, no. 1 (January 1, 1999): 33–39. https://doi.org/10.1109/8.752982.Full Text
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Geng, N., C. E. Baum, and L. Carin. “On the low-frequency natural response of conducting and permeable targets.” Ieee Transactions on Geoscience and Remote Sensing 37, no. 1 (1999): 347–59. https://doi.org/10.1109/36.739068.Full Text
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Geng, N., M. A. Ressler, and L. Carin. “Wide-band VHF scattering from a trihedral reflector situated above a lossy dispersive halfspace.” Ieee Transactions on Geoscience and Remote Sensing 37, no. 5 (1999): 2609–17. https://doi.org/10.1109/36.789655.Full Text
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Geng, Norbert, Anders Sullivan, and Lawrence Carin. “Fast multipole method for scattering from 3-D pec targets situated in a half-space environment.” Microwave and Optical Technology Letters 21, no. 6 (1999): 399–405. https://doi.org/10.1002/(SICI)1098-2760(19990620)21:63.0.CO;2-Z.Full Text Link to Item
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Runkle, P., L. Carin, L. Couchman, T. J. Yoder, and J. A. Bucaro. “Multiaspect target identification with wave-based matched pursuits and continuous hidden Markov models.” Ieee Transactions on Pattern Analysis and Machine Intelligence 21, no. 12 (1999): 1371–78. https://doi.org/10.1109/34.817415.Full Text
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Sullivan, Anders, and Lawrence Carin. “Hybrid technique combining the moment method with physical optics and uniform asymptotics for scattering from 2-D cylinders.” Microwave and Optical Technology Letters 21, no. 2 (1999): 117–21. https://doi.org/10.1002/(SICI)1098-2760(19990420)21:23.0.CO;2-J.Full Text Link to Item
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Carin, L., G. W. Slade, and K. J. Webb. “Mode coupling and leakage effects in finite-size printed interconnects.” Ieee Transactions on Microwave Theory and Techniques 46, no. 5 PART 1 (December 1, 1998): 450–57. https://doi.org/10.1109/22.668641.Full Text
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Carin, L., R. Kapoor, and C. E. Baum. “Polarimetric SAR imaging of buried landmines.” Ieee Transactions on Geoscience and Remote Sensing 36, no. 6 (December 1, 1998): 1985–88. https://doi.org/10.1109/36.729373.Full Text
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Dogaru, T., and L. Carin. “Time-domain sensing of targets buried under a rough air-ground interface.” Ieee Transactions on Antennas and Propagation 46, no. 3 (December 1, 1998): 360–72. https://doi.org/10.1109/8.662655.Full Text
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Geng, N., and L. Carin. “Ultrawideband scattering from and the resonances of buried dielectric mines.” Proceedings of Spie the International Society for Optical Engineering 3392 (December 1, 1998): 644–55. https://doi.org/10.1117/12.324237.Full Text
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McClure, M., P. Bharadwaj, and L. Carin. “Multiresolution signature-based sar target detection.” Proceedings of Spie the International Society for Optical Engineering 3370 (December 1, 1998): 318–29. https://doi.org/10.1117/12.321836.Full Text
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Merchant, B. L., R. Kapoor, and L. Carin. “Comparison of model-based results with measured data for metal buried mines.” Proceedings of Spie the International Society for Optical Engineering 3392 (December 1, 1998): 658–67. https://doi.org/10.1117/12.324238.Full Text
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Rao, B., and L. Carin. “A hybrid (parabolic equation)-(gaussian beam) algorithm for wave propagation through large inhomogeneous regions.” Ieee Transactions on Antennas and Propagation 46, no. 5 (December 1, 1998): 700–709. https://doi.org/10.1109/8.668914.Full Text
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Wong, D. C., and L. Carin. “Subbanding of temporal and spatial UWB SAR imagery of buried mines.” Proceedings of Spie the International Society for Optical Engineering 3392 (December 1, 1998): 678–85. https://doi.org/10.1117/12.324240.Full Text
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Wong, D., and L. Carin. “Analysis and processing of ultra wide-band SAR imagery for buried landmine detection.” Ieee Transactions on Antennas and Propagation 46, no. 11 (December 1, 1998): 1747–48. https://doi.org/10.1109/8.736633.Full Text
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Carin, L., N. Geng, M. McClure, J. Sichina, and L. Nguyen. “Ultra-wideband synthetic aperture radar for mine field detection.” Ultra Wideband Short Pulse Electromagnetics 4 1998-June (January 1, 1998): 433–41. https://doi.org/10.1109/UWBSP.1998.818978.Full Text
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Geng, N., and L. Carin. “Short-pulse scattering from a dielectric BOR buried in a lossy layered medium.” International Geoscience and Remote Sensing Symposium (Igarss) 1 (January 1, 1998): 219–21. https://doi.org/10.1109/igarss.1998.702858.Full Text
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Geng, N., and L. Carin. “Resonances of a dielectric BOR buried in a lossy, dispersive layered medium.” International Geoscience and Remote Sensing Symposium (Igarss) 1 (January 1, 1998): 222–24. https://doi.org/10.1109/igarss.1998.702859.Full Text
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McClure, M., and L. Carin. “Wave-based matching-pursuits detection of submerged elastic targets.” Journal of the Acoustical Society of America 104, no. 2 I (January 1, 1998): 937–46. https://doi.org/10.1121/1.423310.Full Text
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Carin, L., L. B. Felsen, D. R. Kralj, H. S. Oh, W. C. Lee, and S. Unnikrishna Pillai. “Wave-oriented signal processing of dispersive time-domain scattering data.” Ieee Transactions on Antennas and Propagation 45, no. 4 (December 1, 1997): 592–600. https://doi.org/10.1109/8.564084.Full Text
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McClure, M. R., and L. Carin. “Matching pursuits with a wave-based dictionary.” Ieee Transactions on Signal Processing 45, no. 12 (December 1, 1997): 2912–27. https://doi.org/10.1109/78.650250.Full Text
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McClure, M. R., and L. Carin. “Matching pursuits with a wavebased dictionary.” Ieee Transactions on Signal Processing 45, no. 12 (December 1, 1997): 29122927.
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McClure, M., R. C. Qiu, and L. Carin. “On the superresolution identification of observables from swept-frequency scattering data.” Ieee Transactions on Antennas and Propagation 45, no. 4 (December 1, 1997): 631–41. https://doi.org/10.1109/8.564089.Full Text
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Vitebskiy, S., L. Carin, M. A. Ressler, and F. H. Le. “Ultra-wideband, short-pulse ground-penetrating radar: simulation and measurement.” Ieee Transactions on Geoscience and Remote Sensing 35, no. 3 (December 1, 1997): 762–72. https://doi.org/10.1109/36.581999.Full Text
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McClure, Mark R., and Lawrence Carin. “Wave-based target identification via the method of matched pursuits.” Edited by Ivan Kadar. Spie Proceedings, July 28, 1997. https://doi.org/10.1117/12.280807.Full Text
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Kralj, D., and L. Carin. “Time-domain characteristics of slotted-waveguide leaky-wave antennas.” Ieee Microwave and Guided Wave Letters 7, no. 5 (May 1, 1997): 124–26. https://doi.org/10.1109/75.569724.Full Text
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Carin, L., L. B. Felsen, and T. T. Hsu. “High-frequency fields excited by truncated arrays of nonuniformly distributed filamentary scatterers on an infinite dielectric slab: parameterizing (leaky mode)-(floquet mode) interaction.” Ieee Transactions on Antennas and Propagation 44, no. 1 (December 1, 1996): 1–11. https://doi.org/10.1109/8.477522.Full Text
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Hsu, T. T., M. R. McClure, L. B. Felsen, and L. Carin. “Wave-oriented processing of scattered field data from a plane-wave-excited finite array of filaments on an infinite dielectric slab.” Ieee Transactions on Antennas and Propagation 44, no. 3 (December 1, 1996): 352–60. https://doi.org/10.1109/8.486304.Full Text
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McKnight, S. W., L. Carin, C. Vittoria, S. F. Wahid, K. Agi, and D. Kralj. “Picosecond-pulse and millimeter-wave spectroscopy of barium ferrite.” Ieee Transactions on Magnetics 32, no. 2 (December 1, 1996): 372–76. https://doi.org/10.1109/20.486521.Full Text
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Vitebskiy, S., K. Sturgess, and L. Carin. “Short-pulse plane-wave scattering from buried perfectly conducting bodies of revolution.” Ieee Transactions on Antennas and Propagation 44, no. 2 (December 1, 1996): 143–51. https://doi.org/10.1109/8.481640.Full Text
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Vitebskiy, S., and L. Carin. “Resonances of perfectly conducting wires and bodies of revolution buried in a lossy dispersive half-space.” Ieee Transactions on Antennas and Propagation 44, no. 12 (December 1, 1996): 1575–83. https://doi.org/10.1109/8.546243.Full Text
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Hsu, T. T., and L. Carin. “FDTD analysis of plane-wave diffraction from microwave devices on an infinite dielectric slab.” Ieee Microwave and Guided Wave Letters 6, no. 1 (January 1, 1996): 16–18. https://doi.org/10.1109/75.482057.Full Text
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Vitebskiy, S., and L. Carin. “Resonances of buried targets [radar theory].” Proc. Spie Int. Soc. Opt. Eng. (Usa) 2747 (1996): 221–32.
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Vitebskiy, S., and L. Carin. “Short-pulse scattering from buried wires and bodies of revolution [ground penetrating radar].” Proc. Spie Int. Soc. Opt. Eng. (Usa) 2747 (1996): 233–44.
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Vitebskiy, S., and L. Carin. “Resonances of buried targets.” Proceedings of Spie the International Society for Optical Engineering 2747 (January 1, 1996): 221–32.
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Vitebskiy, S., and L. Carin. “Short-pulse scattering from buried wires and bodies of revolution.” Proceedings of Spie the International Society for Optical Engineering 2747 (January 1, 1996): 233–44.
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Carin, L., L. B. Felsen, and C. Tran. “Model-based object recognition by wave-oriented data processing.” Proceedings of Spie the International Society for Optical Engineering 2485 (December 1, 1995): 62–73.
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Qiu, Y., K. M. Leung, L. Carin, and D. Kralj. “Dispersion curves and transmission spectra of a two-dimensional photonic band-gap crystal: Theory and experiment.” Journal of Applied Physics 77, no. 8 (December 1, 1995): 3631–36. https://doi.org/10.1063/1.358599.Full Text
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Vitebskiy, S., and L. Carin. “Moment-method modeling of short-pulse scattering from and the resonances of a wire buried inside a lossy, dispersive half-space.” Ieee Transactions on Antennas and Propagation 43, no. 11 (November 1, 1995): 1303–12. https://doi.org/10.1109/8.475103.Full Text
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Cina, J. L., and L. Carin. “Mode Conversion and Leaky-Wave Excitation at Open-End Coupled-Microstrip Discontinuities.” Ieee Transactions on Microwave Theory and Techniques 43, no. 9 (January 1, 1995): 2066–72. https://doi.org/10.1109/22.414542.Full Text
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Cina, J., and L. Carin. “Mode conversion and leaky-wave excitation at open-end coupled microstrip discontinuities.” Ieee Mtt S International Microwave Symposium Digest 1 (January 1, 1995): 225–28.
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Kralj, D., L. Mei, T. T. Hsu, and L. Carin. “Short-Pulse Propagation in a Hollow Waveguide: Analysis, Optoelectronic Measurement, and Signal Processing.” Ieee Transactions on Microwave Theory and Techniques 43, no. 9 (January 1, 1995): 2144–50. https://doi.org/10.1109/22.414552.Full Text
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Carin, L., L. B. Felsen, and T. T. Hsu. “High frequency radiation from truncated arrays of filamentary sources on a dielectric slab.” Ieee Antennas and Propagation Society, Ap S International Symposium (Digest) 3 (December 1, 1994): 1522–25.
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Kralj, D., M. McClure, L. Carin, and L. B. Felsen. “Time domain wave-oriented data processing of scattering by truncated periodic strip gratings.” Ieee Antennas and Propagation Society, Ap S International Symposium (Digest) 2 (December 1, 1994): 672–75.
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McClure, M., D. Kralj, T. T. Hsu, L. Carin, and L. B. Felsen. “Frequency domain wave-oriented data processing of scattering by truncated periodic strip gratings.” Ieee Antennas and Propagation Society, Ap S International Symposium (Digest) 2 (December 1, 1994): 668–71.
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Rahman, A., D. Kralj, L. Carin, M. R. Melloch, and J. M. Woodall. “Photoconductively switched antennas for measuring target resonances.” Applied Physics Letters 64, no. 16 (December 1, 1994): 2178–80. https://doi.org/10.1063/1.111668.Full Text
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Carin, L., L. B. Felsen, D. Kralj, S. U. Pillai, and W. C. Lee. “Dispersive Modes in the Time Domain: Analysis and Time-Frequency Representation.” Ieee Microwave and Guided Wave Letters 4, no. 1 (January 1, 1994): 23–25. https://doi.org/10.1109/75.267683.Full Text
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Carin, L., and L. B. Felsen. “Wave-Oriented Data Processing for Frequency and Time-Domain Scattering by Nonuniform Truncated Arrays.” Ieee Antennas and Propagation Magazine 36, no. 3 (January 1, 1994): 29–43. https://doi.org/10.1109/74.294241.Full Text
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Felsen, L. B., and L. Carin. “Diffraction theory of frequency- and time-domain scattering by weakly aperiodic truncated thin-wire gratings.” Journal of the Optical Society of America A: Optics and Image Science, and Vision 11, no. 4 (January 1, 1994): 1291–1306. https://doi.org/10.1364/JOSAA.11.001291.Full Text
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Felsen, L. B., and L. Carin. “Frequency and time domain Bragg-modulated ray acoustics for truncated periodic arrays.” Journal of the Acoustical Society of America 95, no. 2 (January 1, 1994): 638–49. https://doi.org/10.1121/1.408424.Full Text
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Kralj, D., M. McClure, L. Carin, and L. B. Felsen. “Time-domain wave-oriented data processing of scattering by nonuniform truncated gratings.” Journal of the Optical Society of America A: Optics and Image Science, and Vision 11, no. 10 (January 1, 1994): 2685–94. https://doi.org/10.1364/JOSAA.11.002685.Full Text
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Kralj, D., and L. Carin. “Wideband Dispersion Measurements of Water in Reflection and Transmission.” Ieee Transactions on Microwave Theory and Techniques 42, no. 4 (January 1, 1994): 553–57. https://doi.org/10.1109/22.285059.Full Text
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McClure, M., D. Kralj, T. T. Hsu, L. Carin, and L. B. Felsen. “Frequency-domain scattering by nonuniform truncated arrays: Wave-oriented data processing for inversion and imaging.” Journal of the Optical Society of America A: Optics and Image Science, and Vision 11, no. 10 (January 1, 1994): 2675–84. https://doi.org/10.1364/JOSAA.11.002675.Full Text
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Sullivan, A., and L. Carin. “Scattering by 2d strips using an asymptotic hybrid formulation combining the method‐of‐moments and physical‐optics techniques.” Microwave and Optical Technology Letters 7, no. 12 (January 1, 1994): 542–46. https://doi.org/10.1002/mop.4650071204.Full Text
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Kralj, D., and L. Carin. “Short-pulse scattering measurements from dielectric spheres using photoconductively switched antennas.” Applied Physics Letters 62, no. 11 (December 1, 1993): 1301–3. https://doi.org/10.1063/1.108714.Full Text
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Carin, L., D. R. Kralij, J. M. Woodall, and M. R. Melloch. “Characterization of Planar Antennas Fabricated on GaAs Epilayers Containing As Clusters for Picosecond Short-Pulse Applications.” Ieee Microwave and Guided Wave Letters 3, no. 9 (January 1, 1993): 339–41. https://doi.org/10.1109/75.244872.Full Text
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Carin, L., G. W. Slade, K. J. Webb, and A. A. Oliner. “Packaged printed transmission lines: modal phenomena and relation to leakage.” Ieee Mtt S International Microwave Symposium Digest 3 (January 1, 1993): 1195–98.
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Carin, L., K. Agi, D. Kralj, K. M. Leung, and B. A. Garetz. “Characterization of Layered Dielectrics with Short Electromagnetic Pulses.” Ieee Journal of Quantum Electronics 29, no. 7 (January 1, 1993): 2141–44. https://doi.org/10.1109/3.237487.Full Text
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Carin, L., L. B. Felsen, and M. R. McClure. “Time-Domain Design-Oriented Parametrization of Truncated Periodic Strip Gratings.” Ieee Microwave and Guided Wave Letters 3, no. 4 (January 1, 1993): 110–12. https://doi.org/10.1109/75.208566.Full Text
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Carin, L., and K. Agi. “Ultra-wideband transient microwave scattering measurements using optoelectronically switched antennas.” Ieee Transactions on Microwave Theory and Techniques 41, no. 2 (January 1, 1993): 250–54. https://doi.org/10.1109/22.216464.Full Text
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Carin, L., and L. B. Felsen. “Efficient analytical‐numerical modelling of ultra‐wideband pulsed plane wave scattering.” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 6, no. 1 (January 1, 1993): 3–17. https://doi.org/10.1002/jnm.1660060103.Full Text
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Carin, L., and L. B. Felsen. “Time Harmonic and Transient Scattering by Finite Periodic Flat Strip Arrays: Hybrid (Ray)-(Floquet Mode)-(MOM) Algorithm.” Ieee Transactions on Antennas and Propagation 41, no. 4 (January 1, 1993): 412–21. https://doi.org/10.1109/8.220973.Full Text
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Felsen, L. B., and L. Carin. “Wave-orientated processing of scattering data.” Electronics Letters 29, no. 22 (January 1, 1993): 1930–32. https://doi.org/10.1049/el:19931285.Full Text
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Kralj, D., and L. Carin. “Ultra-wideband characterization of lossy materials: short-pulse microwave measurements.” Ieee Mtt S International Microwave Symposium Digest 3 (January 1, 1993): 1239–42.
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Mijovic, Jovan, Lawrence Carin, and CF Winnie Yee. “Polymer composites.” Polymer News 18, no. 12 (1993): 364.
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Carin, L. “Efficient Computation of High-Frequency Two-Dimensional Effects in Multiconductor Printed Interconnects.” Ieee Transactions on Microwave Theory and Techniques 40, no. 1 (January 1, 1992): 155–58. https://doi.org/10.1109/22.108335.Full Text
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Carin, L., and L. B. Felsen. “Design-Oriented Parametrization of Truncated Periodic-Strip Gratings.” Ieee Microwave and Guided Wave Letters 2, no. 9 (January 1, 1992): 367–69. https://doi.org/10.1109/75.153622.Full Text
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Carin, L., and N. K. Das. “Leaky Waves on Broadside-Coupled Microstrip.” Ieee Transactions on Microwave Theory and Techniques 40, no. 1 (January 1, 1992): 58–66. https://doi.org/10.1109/22.108323.Full Text
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Carin, L. “Leakage effects in broadside-coupled microstrip.” Ieee Mtt S International Microwave Symposium Digest 2 (December 1, 1991): 559–62.
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Felsen, Leopold B., G. Vecchi, Lawrence Carin, and H. L. Bertoni. “<title>Short-pulse electromagnetics for sensing applications</title>.” Edited by Firooz A. Sadjadi. Spie Proceedings, August 1, 1991. https://doi.org/10.1117/12.44874.Full Text
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Carin, L., G. W. Slade, and K. J. Webb. “Modal transition phenomena in shielded microstrip with anisotropic substrates.” Ieee Mtt S International Microwave Symposium Digest 2 (January 1, 1990): 677–80.
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Carin, L., and K. J. Webb. “Pulse Propagation on Multi-Layered Circuit-Level Interconnects.” Journal of Electromagnetic Waves and Applications 4, no. 3 (January 1, 1990): 229–45. https://doi.org/10.1163/156939390X00519.Full Text
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Carin, L., and K. J. Webb. “Isolation Effects in Single- and Dual-Plane VLSI Interconnects.” Ieee Transactions on Microwave Theory and Techniques 38, no. 4 (January 1, 1990): 396–404. https://doi.org/10.1109/22.52580.Full Text
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Slade, G. W., L. Carin, Q. Xu, S. E. Borchardt, and K. J. Webb. “A Study of Slotline Leaky-Wave Antennas.” Ieee Transactions on Antennas and Propagation 38, no. 3 (January 1, 1990): 411–14. https://doi.org/10.1109/8.52251.Full Text
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Carin, L., and K. J. Webb. “Characteristic impedance of multilevel, multiconductor hybrid mode microstrip.” Ieee Transactions on Magnetics 25, no. 4 (January 1, 1989): 2947–49. https://doi.org/10.1109/20.34333.Full Text
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Carin, L., and K. J. Webb. “An Equivalent Circuit Model for Terminated Hybrid-Mode Multiconductor Transmission Lines.” Ieee Transactions on Microwave Theory and Techniques 37, no. 11 (January 1, 1989): 1784–93. https://doi.org/10.1109/22.41045.Full Text
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Carin, L., K. J. Webb, and S. Weinreb. “Matched Windows in Circular Waveguide.” Ieee Transactions on Microwave Theory and Techniques 36, no. 9 (January 1, 1988): 1359–62. https://doi.org/10.1109/22.3683.Full Text
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Webb, K. J., L. Carin, and Q. Xu. “NUMERICAL ANALYSIS OF PLANAR HIGH FREQUENCY INTEGRATED CIRCUIT GEOMETRIES.,” December 1, 1987.
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Carin, L., Q. Xu, K. J. Webb, and J. A. McClintock. “ANALYSIS OF VLSI INTERCONNECT STRUCTURES.” Ieee Mtt S International Microwave Symposium Digest, January 1, 1987, 625–28. https://doi.org/10.1109/mwsym.1987.1132488.Full Text
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Cheng, Pengyu, Yitong Li, Xinyuan Zhang, Liqun Chen, David Carlson, and Lawrence Carin. “Dynamic Embedding on Textual Networks via a Gaussian Process,” n.d.
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Conference Papers
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Verma, V. K., N. Mehta, S. Si, R. Henao, and L. Carin. “Pushing the Efficiency Limit Using Structured Sparse Convolutions.” In Proceedings 2023 Ieee Winter Conference on Applications of Computer Vision, Wacv 2023, 6492–6502, 2023. https://doi.org/10.1109/WACV56688.2023.00644.Full Text
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Sundararaman, D., V. Subramanian, G. Wang, L. Xu, and L. Carin. “Improving Downstream Task Performance by Treating Numbers as Entities.” In International Conference on Information and Knowledge Management, Proceedings, 4535–39, 2022. https://doi.org/10.1145/3511808.3557614.Full Text
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Bai, K., G. Wang, J. Li, S. Park, S. Lee, P. Xu, R. Henao, and L. Carin. “Open World Classification with Adaptive Negative Samples.” In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Emnlp 2022, 4378–92, 2022.
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Chapfuwa, P., S. Rose, L. Carin, E. Meeds, and R. Henao. “Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations.” In Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, Uai 2022, 286–95, 2022.
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Gao, Q., D. Wang, J. D. Amason, S. Yuan, C. Tao, R. Henao, M. Hadziahmetovic, L. Carin, and M. Pajic. “GRADIENT IMPORTANCE LEARNING FOR INCOMPLETE OBSERVATIONS.” In Iclr 2022 10th International Conference on Learning Representations, 2022.
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Liu, J., D. Shen, Y. Zhang, B. Dolan, L. Carin, and W. Chen. “What Makes Good In-Context Examples for GPT-3?” In Deelio 2022 Deep Learning Inside Out: 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, Proceedings of the Workshop, 100–114, 2022.
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Si, S., C. J. Oates, A. B. Duncan, L. Carin, and F. X. Briol. “Scalable Control Variates for Monte Carlo Methods Via Stochastic Optimization.” In Springer Proceedings in Mathematics and Statistics, 387:205–21, 2022. https://doi.org/10.1007/978-3-030-98319-2_10.Full Text
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Yuan, S., Y. Li, D. Wang, K. Bai, L. Carin, and D. Carlson. “Learning to Weight Filter Groups for Robust Classification.” In Proceedings 2022 Ieee/Cvf Winter Conference on Applications of Computer Vision, Wacv 2022, 3321–30, 2022. https://doi.org/10.1109/WACV51458.2022.00338.Full Text
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Chen, Junya, Zidi Xiu, Benjamin A. Goldstein, Ricardo Henao, Lawrence Carin, and Chenyang Tao. “Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer.” In Adv Neural Inf Process Syst, 34:21229–43, 2021.Link to Item
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Yang, Q., J. Zhang, W. Hao, G. P. Spell, and L. Carin. “FLOP: Federated Learning on Medical Datasets using Partial Networks.” In Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 3845–53, 2021. https://doi.org/10.1145/3447548.3467185.Full Text
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Hao, W., M. El-Khamy, J. Lee, J. Zhang, K. J. Liang, C. Chen, and L. Carin. “Towards fair federated learning with zero-shot data augmentation.” In Ieee Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 3305–14, 2021. https://doi.org/10.1109/CVPRW53098.2021.00369.Full Text
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Chapfuwa, P., S. Assaad, S. Zeng, M. J. Pencina, L. Carin, and R. Henao. “Enabling counterfactual survival analysis with balanced representations.” In Acm Chil 2021 Proceedings of the 2021 Acm Conference on Health, Inference, and Learning, 133–45, 2021. https://doi.org/10.1145/3450439.3451875.Full Text
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Dov, D., S. Assaad, S. Si, R. Wang, H. Xu, S. Z. Kovalsky, J. Bell, et al. “Affinitention nets: Kernel perspective on attention architectures for set classification with applications to medical text and images.” In Acm Chil 2021 Proceedings of the 2021 Acm Conference on Health, Inference, and Learning, 14–24, 2021. https://doi.org/10.1145/3450439.3451856.Full Text
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Dai, S., Y. Cheng, Y. Zhang, Z. Gan, J. Liu, and L. Carin. “Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12625 LNCS:268–83, 2021. https://doi.org/10.1007/978-3-030-69538-5_17.Full Text
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Cheng, P., W. Hao, S. Yuan, S. Si, and L. Carin. “FAIRFIL: CONTRASTIVE NEURAL DEBIASING METHOD FOR PRETRAINED TEXT ENCODERS.” In Iclr 2021 9th International Conference on Learning Representations, 2021.
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Cong, Y., M. Zhao, J. Li, J. Chen, and L. Carin. “GO Hessian for Expectation-Based Objectives.” In 35th Aaai Conference on Artificial Intelligence, Aaai 2021, 13B:12060–68, 2021.
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Dai, S., Z. Gan, Y. Cheng, C. Tao, L. Carin, and J. Liu. “APo-VAE: Text Generation in Hyperbolic Space.” In Naacl Hlt 2021 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 416–31, 2021.
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Liang, K. J., W. Hao, D. Shen, Y. Zhou, W. Chen, C. Chen, and L. Carin. “MIXKD: TOWARDS EFFICIENT DISTILLATION OF LARGE-SCALE LANGUAGE MODELS.” In Iclr 2021 9th International Conference on Learning Representations, 2021.
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Subramanian, V., M. Engelhard, S. Berchuck, L. Chen, R. Henao, and L. Carin. “SpanPredict: Extraction of Predictive Document Spans with Neural Attention.” In Naacl Hlt 2021 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 5234–58, 2021.
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Sundararaman, D., H. Tsai, K. H. Lee, I. Turc, and L. Carin. “Learning Task Sampling Policy for Multitask Learning.” In Findings of the Association for Computational Linguistics, Findings of Acl: Emnlp 2021, 4410–15, 2021.
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Sundararaman, D., V. Subramanian, G. Wang, S. Si, D. Shen, D. Wang, and L. Carin. “Syntactic Knowledge-Infused Transformer and BERT models.” In Ceur Workshop Proceedings, Vol. 3052, 2021.
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Varshney, S., V. K. Verma, P. K. Srijith, L. Carin, and P. Rai. “CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks.” In Advances in Neural Information Processing Systems, 18:15175–87, 2021.
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Verma, V. K., K. J. Liang, N. Mehta, P. Rai, and L. Carin. “Efficient feature transformations for discriminative and generative continual learning.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 13860–70, 2021. https://doi.org/10.1109/CVPR46437.2021.01365.Full Text
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Wang, W., H. Xu, G. Wang, and L. Carin. “Zero-shot recognition via optimal transport.” In Proceedings 2021 Ieee Winter Conference on Applications of Computer Vision, Wacv 2021, 3470–80, 2021. https://doi.org/10.1109/WACV48630.2021.00351.Full Text
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Xu, H., D. Luo, L. Carin, and H. Zha. “Learning Graphons via Structured Gromov-Wasserstein Barycenters.” In 35th Aaai Conference on Artificial Intelligence, Aaai 2021, 12A:10505–13, 2021.
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Yuan, S., P. Cheng, R. Zhang, W. Hao, Z. Gan, and L. Carin. “IMPROVING ZERO-SHOT VOICE STYLE TRANSFER VIA DISENTANGLED REPRESENTATION LEARNING.” In Iclr 2021 9th International Conference on Learning Representations, 2021.
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McManigle, John E., Raquel R. Bartz, and Lawrence Carin. “Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations.” In Annu Int Conf Ieee Eng Med Biol Soc, 2020:1266–69, 2020. https://doi.org/10.1109/EMBC44109.2020.9176334.Full Text Link to Item
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Chen, L., G. Wang, C. Tao, D. Shen, P. Cheng, X. Zhang, W. Wang, Y. Zhang, and L. Carin. “Improving textual network embedding with global attention via optimal transport.” In Acl 2019 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 5193–5202, 2020.
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Chen, L., K. Bai, C. Tao, Y. Zhang, G. Wang, W. Wang, R. Henao, and L. Carin. “Sequence generation with optimal-transport-enhanced reinforcement learning.” In Aaai 2020 34th Aaai Conference on Artificial Intelligence, 7512–20, 2020.
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Chen, L., Z. Gan, Y. Cheng, L. Li, L. Carin, and J. Liu. “Graph optimal transport for cross-domain alignment.” In 37th International Conference on Machine Learning, Icml 2020, PartF168147-2:1520–31, 2020.
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Cheng, P., W. Hao, S. Dai, J. Liu, Z. Gan, and L. Carin. “CLUB: A contrastive log-ratio upper bound of mutual information.” In 37th International Conference on Machine Learning, Icml 2020, PartF168147-3:1757–66, 2020.
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Hao, W., C. Li, X. Li, L. Carin, and J. Gao. “Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 13134–43, 2020. https://doi.org/10.1109/CVPR42600.2020.01315.Full Text
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Inkawhich, N., K. J. Liang, B. Wang, M. Inkawhich, L. Carin, and Y. Chen. “Perturbing across the feature hierarchy to improve standard and strict blackbox attack transferability.” In Advances in Neural Information Processing Systems, Vol. 2020-December, 2020.
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Li, B., C. Chen, H. Liu, and L. Carin. “On connecting stochastic gradient MCMC and differential privacy.” In Aistats 2019 22nd International Conference on Artificial Intelligence and Statistics, 2020.
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Li, C., K. Bai, J. Li, G. Wang, C. Chen, and L. Carin. “Adversarial learning of a sampler based on an unnormalized distribution.” In Aistats 2019 22nd International Conference on Artificial Intelligence and Statistics, 2020.
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Li, Y., C. Li, Y. Zhang, X. Li, G. Zheng, L. Carin, and J. Gao. “Complementary auxiliary classifiers for label-conditional text generation.” In Aaai 2020 34th Aaai Conference on Artificial Intelligence, 8303–10, 2020.
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Lu, D., C. Tao, J. Chen, F. Li, F. Guo, and L. Carin. “Reconsidering generative objectives for counterfactual reasoning.” In Advances in Neural Information Processing Systems, Vol. 2020-December, 2020.
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Lu, Y., Y. Jia, J. Wang, B. Li, W. Chai, L. Carin, and S. Velipasalar. “Enhancing cross-task black-box transferability of adversarial examples with dispersion reduction.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 937–46, 2020. https://doi.org/10.1109/CVPR42600.2020.00102.Full Text
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Shen, D., A. Celikyilmaz, Y. Zhang, L. Chen, X. Wang, J. Gao, and L. Carin. “Towards generating long and coherent text with multi-level latent variable models.” In Acl 2019 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 2079–89, 2020.
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Shen, D., P. Cheng, D. Sundararaman, X. Zhang, Q. Yang, M. Tang, A. Celikyilmaz, and L. Carin. “Learning compressed sentence representations for on-device text processing.” In Acl 2019 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 107–16, 2020.
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Singh, P., V. K. Verma, P. Mazumder, L. Carin, and P. Rai. “Calibrating CNNs for lifelong learning.” In Advances in Neural Information Processing Systems, Vol. 2020-December, 2020.
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Wang, W., H. Xu, Z. Gan, B. Li, G. Wang, L. Chen, Q. Yang, and L. Carin. “Graph-driven generative models for heterogeneous multi-task learning.” In Aaai 2020 34th Aaai Conference on Artificial Intelligence, 979–88, 2020.
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Zhang, H., Y. Li, Z. Deng, X. Liang, L. Carin, and E. P. Xing. “AutoSync: Learning to synchronize for data-parallel distributed deep learning.” In Advances in Neural Information Processing Systems, Vol. 2020-December, 2020.
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Zhang, J., Y. Zhao, R. Zhang, L. Carin, and C. Chen. “Variance reduction in stochastic particle-optimization sampling.” In 37th International Conference on Machine Learning, Icml 2020, PartF168147-15:11244–53, 2020.
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Zhang, R., Z. Wen, C. Chen, C. Fang, T. Yu, and L. Carin. “Scalable Thompson sampling via optimal transport.” In Aistats 2019 22nd International Conference on Artificial Intelligence and Statistics, 2020.
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Zhang, X., Y. Yang, S. Yuan, D. Shen, and L. Carin. “Syntax-infused variational autoencoder for text generation.” In Acl 2019 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, 2069–78, 2020.
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Zhao, M., Y. Cong, S. Dai, and L. Carin. “Bridging maximum likelihood and adversarial learning via α-divergence.” In Aaai 2020 34th Aaai Conference on Artificial Intelligence, 6901–8, 2020.
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Zhao, M., Y. Cong, and L. Carin. “On leveraging pretrained GANs for generation with limited data.” In 37th International Conference on Machine Learning, Icml 2020, PartF168147-15:11277–88, 2020.
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Cheng, P., M. R. Min, D. Shen, C. Malon, Y. Zhang, Y. Li, and L. Carin. “Improving disentangled text representation learning with information-theoretic guidance.” In Proceedings of the Annual Meeting of the Association for Computational Linguistics, 7530–41, 2020.
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Cong, Y., M. Zhao, J. Li, S. Wang, and L. Carin. “GAN memory with no forgetting.” In Advances in Neural Information Processing Systems, Vol. 2020-December, 2020.
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Inkawhich, N., K. J. Liang, L. Carin, and Y. Chen. “TRANSFERABLE PERTURBATIONS OF DEEP FEATURE DISTRIBUTIONS.” In 8th International Conference on Learning Representations, Iclr 2020, 2020.
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Li, J., C. Li, G. Wang, H. Fu, Y. C. Lin, L. Chen, Y. Zhang, et al. “Improving text generation with student-forcing optimal transport.” In Emnlp 2020 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, 9144–56, 2020.
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Lobel, S., C. Li, J. Gao, and L. Carin. “RACT: TOWARDS AMORTIZED RANKING-CRITICAL TRAINING FOR COLLABORATIVE FILTERING.” In 8th International Conference on Learning Representations, Iclr 2020, 2020.
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Sigman, J. B., G. P. Spell, K. J. Liang, and L. Carin. “Background Adaptive Faster R-CNN for semi-supervised convolutional object detection of threats in X-ray images.” In Proceedings of Spie the International Society for Optical Engineering, Vol. 11404, 2020. https://doi.org/10.1117/12.2558542.Full Text
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Spell, G. P., D. S. Hillygus, B. Guay, and L. Carin. “An embedding model for estimating legislative preferences from the frequency and sentiment of tweets.” In Emnlp 2020 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, 627–41, 2020.
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Sundararaman, D., S. Si, V. Subramanian, G. Wang, D. Hazarika, and L. Carin. “Methods for numeracy-preserving word embeddings.” In Emnlp 2020 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, 4742–53, 2020.
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Wang, R., S. Si, G. Wang, L. Zhang, L. Carin, and R. Henao. “Integrating task specific information into pretrained language models for low resource fine tuning.” In Findings of the Association for Computational Linguistics Findings of Acl: Emnlp 2020, 3181–86, 2020.
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Zhang, R., C. Chen, X. Zhang, K. Bai, and L. Carin. “Semantic matching for sequence-to-sequence learning.” In Findings of the Association for Computational Linguistics Findings of Acl: Emnlp 2020, 212–22, 2020.
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Zhang, R., C. Chen, Z. Gan, W. Wang, D. Shen, G. Wang, Z. Wen, and L. Carin. “Improving adversarial text generation by modeling the distant future.” In Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2516–31, 2020.
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Li, Y., Z. Gan, Y. Shen, J. Liu, Y. Cheng, Y. Wu, L. Carin, D. Carlson, and J. Gao. “Storygan: A sequential conditional gan for story visualization.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 2019-June:6322–31, 2019. https://doi.org/10.1109/CVPR.2019.00649.Full Text
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Chen, L., Y. Zhang, R. Zhang, C. Tao, Z. Gan, H. Zhang, B. Li, D. Shen, C. Chen, and L. Carin. “Improving sequence-to-sequence learning via optimal transport.” In 7th International Conference on Learning Representations, Iclr 2019, 2019.
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Chen, L., Y. Zhang, R. Zhang, C. Tao, Z. Gan, H. Zhang, B. Li, D. Shen, C. Chen, and L. Carin. “Improving sequence-to-sequence learning via optimal transport.” In 7th International Conference on Learning Representations, Iclr 2019, 2019.
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Chen, L., Y. Zhang, R. Zhang, C. Tao, Z. Gan, H. Zhang, B. Li, D. Shen, C. Chen, and L. Carin. “Improving sequence-to-sequence learning via optimal transport.” In 7th International Conference on Learning Representations, Iclr 2019, 2019.
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Cong, Y., M. Zhao, K. Bai, and L. Carin. “Go gradient for expectation-based objectives.” In 7th International Conference on Learning Representations, Iclr 2019, 2019.
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Cong, Y., M. Zhao, K. Bai, and L. Carin. “Go gradient for expectation-based objectives.” In 7th International Conference on Learning Representations, Iclr 2019, 2019.
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Fu, H., C. Li, X. Liu, J. Gao, A. Celikyilmaz, and L. Carin. “Cyclical annealing schedule: A simple approach to mitigating KL vanishing.” In Naacl Hlt 2019 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Proceedings of the Conference, 1:240–50, 2019.
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Li, B., C. Chen, W. Wang, and L. Carin. “Certified adversarial robustness with additive noise.” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
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Li, C., C. Chen, Y. Pu, R. Henao, and L. Carin. “Communication-Efficient stochastic gradient mcmc for neural networks.” In 33rd Aaai Conference on Artificial Intelligence, Aaai 2019, 31st Innovative Applications of Artificial Intelligence Conference, Iaai 2019 and the 9th Aaai Symposium on Educational Advances in Artificial Intelligence, Eaai 2019, 4173–80, 2019.
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Mehta, N., L. Carin, and P. Rai. “Stochastic Blockmodels meet Graph Neural Networks.” In 36th International Conference on Machine Learning, Icml 2019, 2019-June:7849–57, 2019.
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Pu, Y., Z. Gan, L. Carin, and M. R. Min. “Adaptive feature abstraction for translating video to language.” In 5th International Conference on Learning Representations, Iclr 2017 Workshop Track Proceedings, 2019.
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Pu, Y., Z. Gan, L. Carin, and M. R. Min. “Adaptive feature abstraction for translating video to language.” In 5th International Conference on Learning Representations, Iclr 2017 Workshop Track Proceedings, 2019.
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Tao, C., L. Chen, S. Dai, J. Chen, K. Bai, D. Wang, J. Feng, W. Lu, G. Bobashev, and L. Carin. “On fenchel mini-max learning.” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
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Wang, W., Z. Gan, H. Xu, R. Zhang, G. Wang, D. Shen, C. Chen, and L. Carin. “Topic-guided variational autoencoders for text generation.” In Naacl Hlt 2019 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Proceedings of the Conference, 1:166–77, 2019.
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Xu, H., D. Luo, and L. Carin. “Scalable gromov-wasserstein learning for graph partitioning and matching.” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
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Yang, Q., Z. Huo, W. Wang, H. Huang, and L. Carin. “Ouroboros: On accelerating training of transformer-based language models.” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
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Zhang, R., T. Yu, Y. Shen, H. Jin, C. Chen, and L. Carin. “Reward constrained interactive recommendation with natural language feedback.” In Advances in Neural Information Processing Systems, Vol. 32, 2019.
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Liu, C., J. Zhuo, P. Cheng, R. Zhang, J. Zhu, and L. Carin. “Understanding and accelerating particle-based variational inference.” In 36th International Conference on Machine Learning, Icml 2019, 2019-June:7187–7205, 2019.
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Song, Z., R. E. Parr, and L. Carin. “Revisiting the softmax bellman operator: New benefits and new perspective.” In 36th International Conference on Machine Learning, Icml 2019, 2019-June:10368–83, 2019.
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Tao, C., S. Dai, L. Chen, K. Bai, J. Chen, C. Liu, R. Zhang, G. Bobashev, and L. Carin. “Variational annealing of GANs: A Langevin perspective.” In 36th International Conference on Machine Learning, Icml 2019, 2019-June:10777–86, 2019.
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Xu, H., D. Luo, H. Zha, and L. Carin. “Gromov-Wasserstein learning for graph matching and node embedding.” In 36th International Conference on Machine Learning, Icml 2019, 2019-June:11992–7, 2019.
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Yang, Q., Z. Huo, D. Shen, Y. Cheng, W. Wang, G. Wang, and L. Carin. “An end-to-end generative architecture for paraphrase generation.” In Emnlp Ijcnlp 2019 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference, 3132–42, 2019.
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Zhang, X., X. Yuan, and L. Carin. “Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 8232–41, 2018. https://doi.org/10.1109/CVPR.2018.00859.Full Text
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Chen, C., C. Li, L. Chen, W. Wang, Y. Pu, and L. Carin. “Continuous-time flows for efficient inference and density estimation.” In 35th International Conference on Machine Learning, Icml 2018, 2:1285–1304, 2018.
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Chen, L., S. Dai, C. Tao, D. Shen, Z. Gan, H. Zhang, Y. Zhang, and L. Carin. “Adversarial text generation via feature-mover's distance.” In Advances in Neural Information Processing Systems, 2018-December:4666–77, 2018.
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Li, Yitong, Martin Renqiang Min, Dinghan Shen, David Carlson, and Lawrence Carin. “Video Generation From Text.” In Aaai Conference on Artificial Intelligence, 2018.
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Liang, Kevin J., Geert Heilmann, Christopher Gregory, Souleymane O. Diallo, David Carlson, Gregory P. Spell, John B. Sigman, Kris Roe, and Lawrence Carin. “Automatic threat recognition of prohibited items at aviation checkpoint with x-ray imaging: a deep learning approach.” In Anomaly Detection and Imaging With X Rays (Adix) Iii, 10632:1063203–1063203, 2018.
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Pu, Y., M. R. Min, Z. Gan, and L. Carin. “Adaptive feature abstraction for translating video to text.” In 32nd Aaai Conference on Artificial Intelligence, Aaai 2018, 7284–91, 2018.
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Tao, C., L. Chen, R. Henao, J. Feng, and L. Carin. “X2 generative adversarial network.” In 35th International Conference on Machine Learning, Icml 2018, 11:7787–96, 2018.
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Tao, C., L. Chen, R. Henao, J. Feng, and L. Carin. “Supplementary material for "x2 Generative Adversarial Net".” In 35th International Conference on Machine Learning, Icml 2018, 11:7797–7809, 2018.
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Tao, C., L. Chen, R. Zhang, R. Henao, and L. Carin. “Variational inference and model selection with generalized evidence bounds.” In 35th International Conference on Machine Learning, Icml 2018, 2:1419–35, 2018.
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Wang, W., Y. Pu, V. K. Verma, K. Fan, Y. Zhang, C. Chen, P. Rai, and L. Carin. “Zero-shot learning via class-conditioned deep generative models.” In 32nd Aaai Conference on Artificial Intelligence, Aaai 2018, 4211–18, 2018.
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Wang, W., Z. Gan, D. Shen, J. Huang, W. Ping, S. Satheesh, and L. Carin. “Topic compositional neural language model.” In International Conference on Artificial Intelligence and Statistics, Aistats 2018, 356–65, 2018.
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Wei, Q., Y. Ren, R. Hou, B. Shi, J. Y. Lo, and L. Carin. “Anomaly detection for medical images based on a one-class classification.” In Progress in Biomedical Optics and Imaging Proceedings of Spie, Vol. 10575, 2018. https://doi.org/10.1117/12.2293408.Full Text
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Xu, H., D. Luo, X. Chen, and L. Carin. “Benefits from superposed Hawkes processes.” In International Conference on Artificial Intelligence and Statistics, Aistats 2018, 623–31, 2018.
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Xu, H., D. Luo, and L. Carin. “Online continuous-time tensor factorization based on pairwise interactive point processes.” In Ijcai International Joint Conference on Artificial Intelligence, 2018-July:2905–11, 2018. https://doi.org/10.24963/ijcai.2018/403.Full Text
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Xu, H., L. Carin, and H. Zha. “Learning registered point processes from idiosyncratic observations.” In 35th International Conference on Machine Learning, Icml 2018, 12:8662–75, 2018.
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Xu, H., W. Wang, W. Liu, and L. Carin. “Distilled Wasserstein learning for word embedding and topic modeling.” In Advances in Neural Information Processing Systems, 2018-December:1716–25, 2018.
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Zhang, R., C. Chen, C. Li, and L. Carin. “Policy optimization as wasserstein gradient flows.” In 35th International Conference on Machine Learning, Icml 2018, 13:9134–43, 2018.
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Zhang, X., Y. Li, D. Shen, and L. Carin. “Diffusion maps for textual network embedding.” In Advances in Neural Information Processing Systems, 2018-December:7587–97, 2018.
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Chen, L., S. Dai, Y. Pu, E. Zhou, C. Li, Q. Su, C. Chen, and L. Carin. “Symmetric variational autoencoder and connections to adversarial learning.” In International Conference on Artificial Intelligence and Statistics, Aistats 2018, 661–69, 2018.
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Shen, D., M. R. Min, Y. Li, and L. Carin. “Learning context-aware convolutional filters for text processing.” In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Emnlp 2018, 1839–48, 2018.
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Zhang, R., C. Li, C. Chen, and L. Carin. “Learning structural weight uncertainty for sequential decision-making.” In International Conference on Artificial Intelligence and Statistics, Aistats 2018, 1137–46, 2018.
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Gan, Z., C. Gan, X. He, Y. Pu, K. Tran, J. Gao, L. Carin, and L. Deng. “Semantic compositional networks for visual captioning.” In Proceedings 30th Ieee Conference on Computer Vision and Pattern Recognition, Cvpr 2017, 2017-January:1141–50, 2017. https://doi.org/10.1109/CVPR.2017.127.Full Text
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Xing, Z., S. Hillygus, and L. Carin. “Evaluating U.S. Electoral representation with a joint statistical model of congressional roll-calls, legislative text, and voter registration data.” In Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, Part F129685:1205–14, 2017. https://doi.org/10.1145/3097983.3098151.Full Text
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Zhang, Y., Y. Zhao, L. David, R. Henao, and L. Carin. “Dynamic poisson factor analysis.” In Proceedings Ieee International Conference on Data Mining, Icdm, 1359–64, 2017. https://doi.org/10.1109/ICDM.2016.111.Full Text
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Fai, K., Q. Wei, L. Carin, and K. Heller. “An Inner-loop Free Solution to Inverse Problems using Deep Neural Networks.” In Advances in Neural Information Processing Systems, 2017-December:2371–81, 2017.
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Gallagher, N. M., K. Ulrich, A. Talbot, K. Dzirasa, L. Carin, and D. E. Carlson. “Cross-spectral factor analysis.” In Advances in Neural Information Processing Systems, 2017-December:6843–53, 2017.
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Gan, Z., C. Li, C. Chen, Y. Pu, Q. Su, and L. Carin. “Scalable Bayesian learning of recurrent neural networks for language modeling.” In Acl 2017 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers), 1:321–31, 2017. https://doi.org/10.18653/v1/P17-1030.Full Text
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Gan, Z., L. Chen, W. Wang, Y. Pu, Y. Zhang, H. Liu, C. Li, and L. Carin. “Triangle generative adversarial networks.” In Advances in Neural Information Processing Systems, 2017-December:5248–57, 2017.
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Gan, Z., Y. Pu, R. Henao, C. Li, X. He, and L. Carin. “Learning generic sentence representations using convolutional neural networks.” In Emnlp 2017 Conference on Empirical Methods in Natural Language Processing, Proceedings, 2390–2400, 2017. https://doi.org/10.18653/v1/d17-1254.Full Text
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Hu, C., P. Rai, and L. Carin. “Deep generative models for relational data with side information.” In 34th International Conference on Machine Learning, Icml 2017, 4:2492–2502, 2017.
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Li, C., H. Liu, C. Chen, Y. Pu, L. Chen, R. Henao, and L. Carin. “ALICE: Towards understanding adversarial learning for joint distribution matching.” In Advances in Neural Information Processing Systems, 2017-December:5496–5504, 2017.
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Li, Y., M. Murias, S. Major, G. Dawson, K. Dzirasa, L. Carin, and D. E. Carlson. “Targeting EEG/LFP synchrony with neural nets.” In Advances in Neural Information Processing Systems, 2017-December:4621–31, 2017.
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Pu, Y., Z. Gan, R. Henao, C. Li, S. Han, and L. Carin. “VAE learning via Stein variational gradient descent.” In Advances in Neural Information Processing Systems, 2017-December:4237–46, 2017.
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Song, Z., Y. Muraoka, R. Fujimaki, and L. Carin. “Scalable model selection for belief networks.” In Advances in Neural Information Processing Systems, 2017-December:4610–20, 2017.
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Stevens, A., Y. Pu, Y. Sun, G. Spell, and L. Carin. “Tensor-dictionary learning with deep Kruskal-factor analysis.” In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Aistats 2017, 2017.
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Stevens, A., Y. Pu, Y. Sun, G. Spell, and L. Carin. “Tensor-dictionary learning with deep Kruskal-factor analysis.” In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Aistats 2017, 2017.
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Su, Q., X. Liao, C. Li, Z. Gan, and L. Carin. “Unsupervised learning with truncated Gaussian graphical models.” In 31st Aaai Conference on Artificial Intelligence, Aaai 2017, 2583–89, 2017.
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Su, Q., X. Liao, and L. Carin. “A probabilistic framework for nonlinearities in stochastic neural networks.” In Advances in Neural Information Processing Systems, 2017-December:4487–96, 2017.
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Sun, S., C. Chen, and L. Carin. “Learning structured weight uncertainty in Bayesian neural networks.” In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Aistats 2017, 2017.
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Sun, S., C. Chen, and L. Carin. “Learning structured weight uncertainty in Bayesian neural networks.” In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Aistats 2017, 2017.
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Pu, Y., Z. Gan, L. Carin, and M. R. Min. “Adaptive feature abstraction for translating video to language.” In 5th International Conference on Learning Representations, Iclr 2017 Workshop Track Proceedings, 2017.
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Li, C., A. Stevens, C. Chen, Y. Pu, Z. Gan, and L. Carin. “Learning weight uncertainty with stochastic gradient MCMC for shape classification.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 2016-December:5666–75, 2016. https://doi.org/10.1109/CVPR.2016.611.Full Text
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Renna, F., L. Wang, X. Yuan, J. Yang, G. Reeves, R. Calderbank, L. Carin, and M. R. D. Rodrigues. “Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information.” In Ieee Transactions on Information Theory, 62:6459–92, 2016. https://doi.org/10.1109/TIT.2016.2606646.Full Text
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Odinaka, I., Y. Kaganovsky, J. A. Greenberg, M. Hassan, D. G. Politte, J. A. O’Sullivan, L. Carin, and D. J. Brady. “Spectrally grouped total variation reconstruction for scatter imaging using ADMM.” In 2015 Ieee Nuclear Science Symposium and Medical Imaging Conference, Nss/Mic 2015, 2016. https://doi.org/10.1109/NSSMIC.2015.7582220.Full Text
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Llull, P., G. Reeves, L. Carin, and D. J. Brady. “Performance assessment of image translation-engineered point spread functions.” In Optics Infobase Conference Papers, 2016. https://doi.org/10.1364/COSI.2016.CW2D.4.Full Text
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Wang, L., F. Renna, X. Yuan, M. Rodrigues, R. Calderbank, and L. Carin. “A general framework for reconstruction and classification from compressive measurements with side information.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, 2016-May:4239–43, 2016. https://doi.org/10.1109/ICASSP.2016.7472476.Full Text
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Chen, C., N. Ding, C. Li, Y. Zhang, and L. Carin. “Stochastic gradient MCMC with stale gradients.” In Advances in Neural Information Processing Systems, 2945–53, 2016.
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Han, S., X. Liao, D. B. Dunson, and L. Carin. “Variational Gaussian copula inference.” In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, Aistats 2016, 829–38, 2016.
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Hu, C., P. Rai, and L. Carin. “Topic-based embeddings for learning from large knowledge graphs.” In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, Aistats 2016, 1133–41, 2016.
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Hu, C., P. Rai, and L. Carin. “Non-negative matrix factorization for discrete data with hierarchical side-information.” In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, Aistats 2016, 1124–32, 2016.
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Li, C., C. Chen, K. Fan, and L. Carin. “High-Order stochastic gradient thermostats for Bayesian learning of deep models.” In 30th Aaai Conference on Artificial Intelligence, Aaai 2016, 1795–1801, 2016.
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Li, Chunyuan, Changyou Chen, David Carlson, and Lawrence Carin. “Preconditioned stochastic gradient Langevin dynamics for deep neural networks.” In Aaai Conference on Artificial Intelligence, 2016.
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Mrozack, A., X. Liao, S. Skatter, and L. Carin. “Partially observable Markov decision processes for risk-based screening.” In Proceedings of Spie the International Society for Optical Engineering, Vol. 9847, 2016. https://doi.org/10.1117/12.2230764.Full Text
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Odinaka, I., J. A. Greenberg, Y. Kaganovsky, A. Holmgren, M. Hassan, D. G. Politte, J. A. O’Sullivan, L. Carin, and D. J. Brady. “Coded aperture x-ray diffraction imaging with transmission computed tomography side-information.” In Progress in Biomedical Optics and Imaging Proceedings of Spie, Vol. 9783, 2016. https://doi.org/10.1117/12.2216915.Full Text
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Odinaka, I., Y. Kaganovsky, J. A. O’Sullivan, D. G. Politte, A. D. Holmgren, J. A. Greenberg, L. Carin, and D. J. Brady. “Domain and range decomposition methods for coded aperture x-ray coherent scatter imaging.” In Proceedings of Spie the International Society for Optical Engineering, Vol. 9847, 2016. https://doi.org/10.1117/12.2224265.Full Text
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Pu, Y., X. Yuan, A. Stevens, C. Li, and L. Carin. “A deep generative deconvolutional image model.” In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, Aistats 2016, 741–50, 2016.
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Pu, Y., Z. Gan, R. Henao, X. Yuan, C. Li, A. Stevens, and L. Carin. “Variational autoencoder for deep learning of images, labels and captions.” In Advances in Neural Information Processing Systems, 2360–68, 2016.
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Song, J., Z. Gan, and L. Carin. “Factored temporal sigmoid belief networks for sequence learning.” In 33rd International Conference on Machine Learning, Icml 2016, 3:1937–46, 2016.
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Song, Z., R. Parr, X. Liao, and L. Carin. “Linear feature encoding for reinforcement learning.” In Advances in Neural Information Processing Systems, 4231–39, 2016.
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Song, Z., X. Liao, and L. Carin. “Solving DEC-POMDPs by expectation maximization of value functions.” In Aaai Spring Symposium Technical Report, SS-16-01-07:68–76, 2016.
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Su, Q., X. Liao, C. Chen, and L. Carin. “Nonlinear statistical learning with truncated Gaussian graphical models.” In 33rd International Conference on Machine Learning, Icml 2016, 4:2884–95, 2016.
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Wang, W., C. Chen, W. Chen, P. Rai, and L. Carin. “Deep metric learning with data summarization.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9851 LNAI:777–94, 2016. https://doi.org/10.1007/978-3-319-46128-1_49.Full Text
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Yizhe, Z., R. Henao, C. Li, and L. Carin. “Bayesian dictionary learning with Gaussian processes and sigmoid belief networks.” In Ijcai International Joint Conference on Artificial Intelligence, 2016-January:2364–70, 2016.
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Zhang, Y., C. Chen, R. Henao, and L. Carin. “Laplacian Hamiltonian Monte Carlo.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9851 LNAI:98–114, 2016. https://doi.org/10.1007/978-3-319-46128-1_7.Full Text
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Zhang, Y., X. Wang, C. Chen, R. Henao, K. Fan, and L. Carin. “Towards unifying hamiltonian Monte Carlo and Slice sampling.” In Advances in Neural Information Processing Systems, 1749–57, 2016.
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Chen, Changyou, David Carlson, Zhe Gan, Chunyuan Li, and Lawrence Carin. “Bridging the gap between stochastic gradient MCMC and stochastic optimization.” In Artificial Intelligence and Statistics, 1051–60, 2016.
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Kaganovsky, Yan, Ikenna Odinaka, David Carlson, and Lawrence Carin. “Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization.” In Artificial Intelligence and Statistics, 1497–1505, 2016.
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Song, Zhao, Ricardo Henao, David Carlson, and Lawrence Carin. “Learning sigmoid belief networks via Monte Carlo expectation maximization.” In Artificial Intelligence and Statistics, 1347–55, 2016.
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Zhang, Yizhe, Ricardo Henao, Lawrence Carin, Jianling Zhong, and Alexander J. Hartemink. “Learning a Hybrid Architecture for Sequence Regression and Annotation.” In Aaai, edited by Dale Schuurmans and Michael P. Wellman, 1415–21. AAAI Press, 2016.Open Access Copy
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Renna, F., L. Wang, X. Yuan, J. Yang, G. Reeves, R. Calderbank, L. Carin, and M. R. D. Rodrigues. “Classification and reconstruction of compressed GMM signals with side information.” In Ieee International Symposium on Information Theory Proceedings, 2015-June:994–98, 2015. https://doi.org/10.1109/ISIT.2015.7282604.Full Text
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Wangy, L., J. Huang, X. Yuan, V. Cevher, M. Rodrigues, R. Calderban, and L. Carin. “A concentration-of-measure inequality for multiple-measurement models.” In Ieee International Symposium on Information Theory Proceedings, 2015-June:2341–45, 2015. https://doi.org/10.1109/ISIT.2015.7282874.Full Text
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Lian, W., P. Rai, E. Salazar, and L. Carin. “Integrating features and similarities: Flexible models for heterogeneous multiview data.” In Proceedings of the National Conference on Artificial Intelligence, 4:2757–63, 2015.
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Rai, P., Y. Wang, and L. Carin. “Leveraging features and networks for probabilistic tensor decomposition.” In Proceedings of the National Conference on Artificial Intelligence, 4:2942–48, 2015.
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Zhen, Y., P. Rai, H. Zha, and L. Carin. “Cross-modal similarity learning via pairs, preferences, and active supervision.” In Proceedings of the National Conference on Artificial Intelligence, 4:3203–9, 2015.
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Chen, C., N. Ding, and L. Carin. “On the convergence of stochastic gradient MCMC algorithms with high-order integrators.” In Advances in Neural Information Processing Systems, 2015-January:2278–86, 2015.
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Gan, Zhe, Ricardo Henao, David Carlson, and Lawrence Carin. “Learning deep sigmoid belief networks with data augmentation.” In Artificial Intelligence and Statistics, 268–76, 2015.
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Henao, R., Z. Gan, J. Lu, and L. Carin. “Deep poisson factor modeling.” In Advances in Neural Information Processing Systems, 2015-January:2800–2808, 2015.
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Hu, C., P. Rai, C. Chen, M. Harding, and L. Carin. “Scalable bayesian non-negative tensor factorization for massive count data.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9285:53–70, 2015. https://doi.org/10.1007/978-3-319-23525-7_4.Full Text
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Hu, C., P. Rai, and L. Carin. “Zero-truncated Poisson tensor factorization for massive binary tensors.” In Uncertainty in Artificial Intelligence Proceedings of the 31st Conference, Uai 2015, 375–84, 2015.
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Hu, C., P. Rai, and L. Carin. “Zero-truncated Poisson tensor factorization for massive binary tensors.” In Uncertainty in Artificial Intelligence Proceedings of the 31st Conference, Uai 2015, 375–84, 2015.
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Kaganovsky, Y., S. Degirmenci, S. Han, I. Odinaka, D. G. Politte, D. J. Brady, J. A. O’Sullivan, and L. Carin. “Alternating minimization algorithm with iteratively reweighted quadratic penalties for compressive transmission tomography.” In Progress in Biomedical Optics and Imaging Proceedings of Spie, Vol. 9413, 2015. https://doi.org/10.1117/12.2081986.Full Text
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Lian, W., R. Henao, V. Rao, J. Lucas, and L. Carin. “A multitask point process predictive model.” In 32nd International Conference on Machine Learning, Icml 2015, 3:2030–38, 2015.
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Liu, M., C. Amato, X. Liao, L. Carin, and J. P. How. “Stick-breaking policy learning in Dec-POMDPs.” In Ijcai International Joint Conference on Artificial Intelligence, 2015-January:2011–18, 2015.
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Llull, P., X. Yuan, X. Liao, J. Yang, D. Kittle, L. Carin, G. Sapiro, and D. J. Brady. “Temporal compressive sensing for video,” 41–74, 2015. https://doi.org/10.1007/978-3-319-16042-9_2.Full Text
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Pu, Y., X. Yuan, and L. Carin. “A generative model for deep convolutional learning.” In 3rd International Conference on Learning Representations, Iclr 2015 Workshop Track Proceedings, 2015.
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Pu, Y., X. Yuan, and L. Carin. “A generative model for deep convolutional learning.” In 3rd International Conference on Learning Representations, Iclr 2015 Workshop Track Proceedings, 2015.
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Rai, P., C. Hu, M. Harding, and L. Carin. “Scalable probabilistic tensor factorization for binary and count data.” In Ijcai International Joint Conference on Artificial Intelligence, 2015-January:3770–76, 2015.
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Raiy, P., C. Hu, R. Henao, and L. Carin. “Large-scale Bayesian multi-label learning via topic-based label embeddings.” In Advances in Neural Information Processing Systems, 2015-January:3222–30, 2015.
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Carlson, David E., Edo Collins, Ya-Ping Hsieh, Lawrence Carin, and Volkan Cevher. “Preconditioned spectral descent for deep learning.” In Advances in Neural Information Processing Systems, 2971–79, 2015.
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Carlson, David, Volkan Cevher, and Lawrence Carin. “Stochastic spectral descent for restricted Boltzmann machines.” In Artificial Intelligence and Statistics, 111–19, 2015.
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Chen, E. X., W. Lian, L. Carin, and D. J. Brady. “Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification.” In Optics Infobase Conference Papers, 2015.
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Gan, Zhe, Changyou Chen, Ricardo Henao, David Carlson, and Lawrence Carin. “Scalable Deep Poisson Factor Analysis for Topic Modeling.” In Icml, 2015.
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Tsai, T. H., P. Llull, X. Yuan, L. Carin, and D. J. Brady. “Coded Aperture Compressive Spectral-Temporal Imaging.” In Optics Infobase Conference Papers, 2015.
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Ulrich, Kyle R., David E. Carlson, Kafui Dzirasa, and Lawrence Carin. “GP kernels for cross-spectrum analysis.” In Advances in Neural Information Processing Systems, 1999–2007, 2015.
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Yuan, X., P. Llull, X. Liao, J. Yang, D. J. Brady, G. Sapiro, and L. Carin. “Low-cost compressive sensing for color video and depth.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 3318–25, 2014. https://doi.org/10.1109/CVPR.2014.424.Full Text
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Zhang, H., and L. Carin. “Multi-shot imaging: Joint alignment, deblurring, and resolution-enhancement.” In Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, 2925–32, 2014. https://doi.org/10.1109/CVPR.2014.374.Full Text
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Carin, L. “Statistical methods in compressive imaging.” In Optics Infobase Conference Papers, 2014.
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Han, S., L. Du, E. Salazar, and L. Carin. “Dynamic rank factor model for text streams.” In Advances in Neural Information Processing Systems, 3:2663–71, 2014.
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Henao, R., X. Yuan, and L. Carin. “Bayesian nonlinear support vector machines and discriminative factor modeling.” In Advances in Neural Information Processing Systems, 2:1754–62, 2014.
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Hu, Changwei, Eunsu Ryu, David Carlson, Yingjian Wang, and Lawrence Carin. “Latent Gaussian models for topic modeling.” In Artificial Intelligence and Statistics, 393–401, 2014.
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Lian, W., V. Rao, B. Eriksson, and L. Carin. “Modeling correlated arrival events with latent semi-Markov processes.” In 31st International Conference on Machine Learning, Icml 2014, 1:620–29, 2014.
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Rai, P., Y. Wang, S. Guo, G. Chen, D. Dunson, and L. Carin. “Scalable bayesian low-rank decomposition of incomplete multiway tensors.” In 31st International Conference on Machine Learning, Icml 2014, 5:3810–20, 2014.
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Wang, L., A. Razi, M. Dias Rodrigues, R. Calderbank, and L. Carin. “Nonlinear information-theoretic compressive measurement design.” In 31st International Conference on Machine Learning, Icml 2014, 4:2896–2907, 2014.
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Yang, J., X. Liao, M. Chen, and L. Carin. “Compressive sensing of signals from a GMM with sparse precision matrices.” In Advances in Neural Information Processing Systems, 4:3194–3202, 2014.
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Carlson, David E., Jana Schaich Borg, Kafui Dzirasa, and Lawrence Carin. “On the Relationship Between LFP & Spiking Data.” In Advances in Neural Information Processing Systems, 2014.
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Ulrich, Kyle, David E. Carlson, Wenzhao Lian, Jana Schaich Borg, Kafui Dzirasa, and Lawrence Carin. “Analysis of Brain States from Multi-Region LFP Time-Series.” In Advances in Neural Information Processing Systems, 2014.
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Llull, P., X. Liao, X. Yuan, J. Yang, D. Kittle, L. Carin, G. Sapiro, and D. J. Brady. “Compressive sensing for video using a passive coding element.” In Optics Infobase Conference Papers, 2013. https://doi.org/10.1364/cosi.2013.cm1c.3.Full Text
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Vats, D., C. Studer, A. S. Lan, L. Carin, and R. G. Baraniuk. “Test-size reduction for concept estimation.” In Proceedings of the 6th International Conference on Educational Data Mining, Edm 2013, 2013.
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Vats, D., C. Studer, A. S. Lan, L. Carin, and R. G. Baraniuk. “Test-size reduction for concept estimation.” In Proceedings of the 6th International Conference on Educational Data Mining, Edm 2013, 2013.
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Carin, L. “Dictionary learning for hyperspectral video compressive sensing.” In Frontiers in Optics, Fio 2012, 2012. https://doi.org/10.1364/fio.2012.fm4c.5.Full Text
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Carin, L., G. Cybenko, and J. Hughes. “Quantitative evaluation of risk for investment efficient strategies in cybersecurity: The QuERIES methodology.” In 3rd Workshop on Security Metrics, Metricon 2008, 1–18, 2008.
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Liu, Q., X. Liao, and L. Carin. “Semi-supervised multitask learning.” In Advances in Neural Information Processing Systems 20 Proceedings of the 2007 Conference, 2008.
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Whitecotton, B., T. McManus, S. Kuhn, Y. Dalichaouch, L. Carin, P. Torrione, and L. Collins. “Analysis of wideband EMI field data.” In Proceedings of Spie the International Society for Optical Engineering, 5794:254–62, 2005. https://doi.org/10.1117/12.604191.Full Text
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Krishnapuram, B., D. Williams, Y. Xue, A. Hartemink, L. Carin, and M. A. T. Figueiredo. “On semi-supervised classification.” In Advances in Neural Information Processing Systems, 2005.
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Liu, D., L. He, and L. Carin. “Airport detection in large aerial optical imagery.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, Vol. 5, 2004.
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Zhang, Y., X. Liao, E. Dura, and L. Carin. “Active selection of labeled data for target detection.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings, Vol. 5, 2004.
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Liu, Q., B. Krishnapuram, P. Pratapa, X. Liao, A. Hartemink, and L. Carin. “Identification of differentially expressed proteins using MALDI-TOF mass spectra.” In Conference Record of the Asilomar Conference on Signals, Systems and Computers, 2:1323–27, 2003.
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Zhang, Y., L. Collins, and L. Carin. “Physics model based unexploded ordnance discrimination using wideband EMI data.” In Proceedings of Spie the International Society for Optical Engineering, 5089:1023–34, 2003. https://doi.org/10.1117/12.487200.Full Text
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Zhang, Y., L. M. Collins, and L. Carin. “Model-Based Statistical Signal Processing for UXO Discrimination: Performance Results from the JPG-V Demonstration.” In Proceedings of Spie the International Society for Optical Engineering, 5089:1116–26, 2003. https://doi.org/10.1117/12.487181.Full Text
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Krishnapuram, B., L. Carin, and A. J. Hartemink. “Joint classifier and feature optimization for cancer diagnosis using gene expression data.” In Proceedings of the Annual International Conference on Computational Molecular Biology, Recomb, 167–75, 2003. https://doi.org/10.1145/640075.640097.Full Text
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Collins, L. M., Y. Zhang, and L. Carin. “Model-based statistical sensor fusion for unexploded ordnance detection.” In International Geoscience and Remote Sensing Symposium (Igarss), 3:1556–59, 2002.
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Liao, X., and L. Carin. “A new algorithm for independent component analysis with or without constraints.” In Proceedings of the Ieee Sensor Array and Multichannel Signal Processing Workshop, 2002-January:413–17, 2002. https://doi.org/10.1109/SAM.2002.1191072.Full Text
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Gao, Ping, Leslie M. Collins, and Lawrence Carin. “Bayesian optimal classification of metallic objects: a comparison of time-domain and frequency-domain EMI performance.” In Spie Proceedings, edited by Abinash C. Dubey, James F. Harvey, J Thomas Broach, and Regina E. Dugan. SPIE, 2000. https://doi.org/10.1117/12.396251.Full Text
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Gao, P., L. Collins, and L. Carin. “Bayesian optimal classification of metallic objects: a comparison of time-domain and frequency-domain EMI performance.” In Proceedings of Spie the International Society for Optical Engineering, Vol. 4038, 2000.
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Zhang, Y., J. Li, L. Carin, and L. Collins. “Improved UXO detection via sensor fusion.” In Proceedings of Spie the International Society for Optical Engineering, 4038 (II):816–23, 2000. https://doi.org/10.1117/12.396309.Full Text
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Liu, F., S. Tantum, L. Collins, and L. Carin. “Statistical signal processing for detection of buried landmines using quadrupole resonance.” In Detection and Remediation Technologies for Mines and Minelike Targets V, Pts 1 and 2, 4038:572–77, 2000. https://doi.org/10.1117/12.396285.Full Text Link to Item
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Gao, P., L. Collins, N. Geng, and L. Carin. “Classification of buried metal objects using wideband frequency-domain electromagnetic induction responses: a comparison of optimal and sub-optimal processors.” In International Geoscience and Remote Sensing Symposium (Igarss), 3:1819–22, 1999.
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Geng, N., and L. Carin. “Fast multipole method for targets above or buried in lossy soil.” In Ieee Antennas and Propagation Society International Symposium: Wireless Technologies and Information Networks, Aps 1999 Held in Conjunction With Usnc/Ursi National Radio Science Meeting, 1:644–47, 1999. https://doi.org/10.1109/APS.1999.789221.Full Text
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Tantum, S., L. Collins, L. Carin, I. Gorodnitsky, A. Hibbs, D. Walsh, G. Barrell, D. Gregory, R. Matthews, and S. Vierkotter. “Signal processing for NQR discrimination of buried landmines.” In Proceedings of Spie the International Society for Optical Engineering, 3710:474–82, 1999. https://doi.org/10.1117/12.357071.Full Text
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Dogaru, T., L. M. Collins, and L. Carin. “Time-domain sensing of targets buried under a rough air-ground interface.” In Proceedings of Spie the International Society for Optical Engineering, 3392:976–86, 1998. https://doi.org/10.1117/12.324145.Full Text
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Geng, N., P. Garber, L. M. Collins, L. Carin, D. Hansen, D. A. Keiswetter, and I. J. Won. “Wideband electromagnetic induction for metal-target identification: Theory, measurement, and signal processing.” In Proceedings of Spie the International Society for Optical Engineering, 3392:42–51, 1998. https://doi.org/10.1117/12.324223.Full Text
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Bakircioğlu, H., E. Gelenbe, and L. Carin. “Random neural network recognition of shaped objects in strong clutter.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1327:961–66, 1997. https://doi.org/10.1007/bfb0020277.Full Text
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Happ, L., M. Ressler, K. Sturgess, M. Bennett, L. Carin, and S. Vitebskiey. “The Army Research Laboratory ultra-wideband testbed radar and comparisons of target data with models.” In Proceedings of Spie the International Society for Optical Engineering, 2496:42–53, 1995. https://doi.org/10.1117/12.211352.Full Text
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Carin, L., D. R. Kralj, M. R. Melloch, and J. M. Woodall. “Characterization of Planar Antenna Fabricated An GaAs Epilayers Containing As Clusters for Picosecond Short-pulse Applications.” In Leos 1993 Summer Topical Meeting Digest on Optical Microwave Interactions/Visible Semiconductor Lasers/Impact of Fiber Nonlinearities on Lightwave Systems/Hybrid Optoelectronic Integration and Packaging/Gigabit Networks, Leosst 1993, 65–66, 1994. https://doi.org/10.1109/LEOSST.1993.696811.Full Text
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Agi, K., and L. Carin. “Ultra-wideband scattering from resonant structures using optoelectronically switched antennas.” In Ieee Antennas and Propagation Society, Ap S International Symposium (Digest), 1992-June:2234, 1992. https://doi.org/10.1109/APS.1992.221419.Full Text
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Agi, K., and L. Carin. “Ultra-wideband three-dimensional scattering using optoelectronically switched antennas.” In Ieee Antennas and Propagation Society, Ap S International Symposium (Digest), 1992-June:662–65, 1992. https://doi.org/10.1109/APS.1992.221850.Full Text
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Carin, L., and L. B. Felsen. “Time harmonic scattering by finite periodic flat strip arrays: Hybrid (Ray)-(fioquet mode)-(MOM) algorithm and its GTD interpretation.” In Ieee Antennas and Propagation Society, Ap S International Symposium (Digest), 1992-June:675–78, 1992. https://doi.org/10.1109/APS.1992.221847.Full Text
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Felsen, L. B., and L. Carin. “Short pulse scattering by finite periodic flat strip arrays: Hybrid (wavefront)-(time domain floquet mode)-(MOM) algorithm and its GTD interpretation.” In Ieee Antennas and Propagation Society, Ap S International Symposium (Digest), 1992-June:650–53, 1992. https://doi.org/10.1109/APS.1992.221853.Full Text
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Felsen, L. B., G. Vecchi, L. Carin, and H. L. Bertoni. “Short pulse electromagnetics for sensing applications.” In Proceedings of Spie the International Society for Optical Engineering, 1471:154–62, 1991. https://doi.org/10.1117/12.44874.short.Full Text
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