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Online Bayesian dictionary learning for large datasets

Publication ,  Journal Article
Li, L; Silva, J; Zhou, M; Carin, L
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
October 23, 2012

The problem of learning a data-adaptive dictionary for a very large collection of signals is addressed. This paper proposes a statistical model and associated variational Bayesian (VB) inference for simultaneously learning the dictionary and performing sparse coding of the signals. The model builds upon beta process factor analysis (BPFA), with the number of factors automatically inferred, and posterior distributions are estimated for both the dictionary and the signals. Crucially, an online learning procedure is employed, allowing scalability to very large datasets which would be beyond the capabilities of existing batch methods. State-of-the-art performance is demonstrated by experiments with large natural images containing tens of millions of pixels. © 2012 IEEE.

Duke Scholars

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

October 23, 2012

Start / End Page

2157 / 2160
 

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Li, L., Silva, J., Zhou, M., & Carin, L. (2012). Online Bayesian dictionary learning for large datasets. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2157–2160. https://doi.org/10.1109/ICASSP.2012.6288339
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.
Li L, Silva J, Zhou M, Carin L. Online Bayesian dictionary learning for large datasets. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;2157–60.
Li, L., et al. “Online Bayesian dictionary learning for large datasets.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Oct. 2012, pp. 2157–60. Scopus, doi:10.1109/ICASSP.2012.6288339.
Li L, Silva J, Zhou M, Carin L. Online Bayesian dictionary learning for large datasets. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012 Oct 23;2157–2160.

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

October 23, 2012

Start / End Page

2157 / 2160