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Joint dictionary learning and topic modeling for image clustering

Publication ,  Journal Article
Li, L; Zhou, M; Wang, E; Carin, L
Published in: ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
August 18, 2011

A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of the images may be annotated. Example results are presented on the MNIST digit data and on the Microsoft MSRC multi-scene image data. These results reveal the working mechanisms of the model and demonstrate state-of-the-art performance. © 2011 IEEE.

Duke Scholars

Published In

ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings

DOI

ISSN

1520-6149

Publication Date

August 18, 2011

Start / End Page

2168 / 2171
 

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Li, L., Zhou, M., Wang, E., & Carin, L. (2011). Joint dictionary learning and topic modeling for image clustering. ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2168–2171. https://doi.org/10.1109/ICASSP.2011.5946757
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.
Li L, Zhou M, Wang E, Carin L. Joint dictionary learning and topic modeling for image clustering. ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. 2011 Aug 18;2168–71.
Li, L., et al. “Joint dictionary learning and topic modeling for image clustering.” ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, Aug. 2011, pp. 2168–71. Scopus, doi:10.1109/ICASSP.2011.5946757.
Li L, Zhou M, Wang E, Carin L. Joint dictionary learning and topic modeling for image clustering. ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. 2011 Aug 18;2168–2171.

Published In

ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings

DOI

ISSN

1520-6149

Publication Date

August 18, 2011

Start / End Page

2168 / 2171