Skip to main content

Nonparametric learning of dictionaries for sparse representation of sensor signals

Publication ,  Journal Article
Zhou, M; Paisley, J; Carin, L
Published in: CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
December 1, 2009

Nonparametric Bayesian techniques are considered for learning dictionaries for sparse data representations, with applications in sparse rendering of sensor data. The beta process is employed as a prior for learning the dictionary, and this non parametric method naturally infers an appropriate dictionary size. The proposed method can learn a sparse dictionary, and may also be used to denoise a signal under test. The noise variance need not be known, and can be non-stationary. The dictionary coefficients for a given sensor signal may be employed within a classifier. Several exam pIe results are presented, using both Gibbs and variational Bayesian inference, with comparisons to other state-of-the-art approaches. © 2009 IEEE.

Duke Scholars

Published In

CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

DOI

Publication Date

December 1, 2009

Start / End Page

237 / 240
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zhou, M., Paisley, J., & Carin, L. (2009). 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, 237–240. https://doi.org/10.1109/CAMSAP.2009.5413290
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.
Zhou M, Paisley J, Carin L. 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. 2009 Dec 1;237–40.
Zhou, M., et al. “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, Dec. 2009, pp. 237–40. Scopus, doi:10.1109/CAMSAP.2009.5413290.
Zhou M, Paisley J, Carin L. 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. 2009 Dec 1;237–240.

Published In

CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

DOI

Publication Date

December 1, 2009

Start / End Page

237 / 240