On the integration of topic modeling and dictionary learning

Proceedings of the 28th International Conference on Machine Learning, ICML 2011

Volumn , Issue , 2011, Pages 625-632

  Li, Lingbo ^a   Zhou, Mingyuan ^a   Sapiro, Guillermo ^b   Carin, Lawrence ^a  

^a Duke University   (United States)

^b University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DICTIONARY LEARNING; IMAGE PATCHES; NON-PARAMETRIC BAYESIAN; TOPIC MODEL; UNIFIED FRAMEWORK;

BAYESIAN NETWORKS;

LEARNING SYSTEMS;

EID: 80053450173     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Barnard, K., Duygulu, P., Forsyth, D., Freitas, N., Blei, D., and Jordan, M. Matching words and pictures. JMLR, 2003.
2. Blei, D. and Jordan, M. Modeling annotated data. In SIGIR, 2003.
3. Blei, D. and MaAuliffe, J. Supervised topic models. In NIPS, 2007.
4. Blei, D., Ng, A., and Jordan, M. Latent dirichlet allocation. JMLR, 2003.
5. Du, L., Ren, L., Dunson, D., and Carin, L. Bayesian model for simultaneous image clustering, annotation and object segmentation. In NIPS, 2009.
6. Fei-Fei, L. and Perona, P. A bayesian hierarchical model for learning natural scene categories. In CVPR, 2005.
7. Griffiths, T. L. and Ghahramani, Z. Infinite latent feature models and the indian buffet process. In NIPS, 2005.
8. Li, L.-J. and Fei-Fei, L. What, where and who? classifying events by scene and object recognition. In ICCV, 2007.
9. Li, L.-J., Socher, R., and Fei-Fei, L. Towards total scene understanding: classification, annotation and segmentation in an automatic framework. In CVPR, 2009.
10. Lowe, D. Object recognition from local scale-invariant features. In ICCV, 1999.
11. Mairal, J., Bach, F., Ponce, J., Sapiro, G., and Zisserman, A. Discriminative learned dictionaries for local image analysis. In CVPR, 2008.
12. Sethuraman, J. A constructive definition of Dirichlet priors. Statistica Sinica, 4, 1994.
13. Teh, Y. W., Jordan, M. L, Beal, M. J., and Blei, D. M. Hierarchical dirichlet processes. J. Am. Stat. Ass., 101, 2004.
14. Teh, Y. W., Görür, D., and Ghahramani, Z. Stick-breaking construction for the Indian buffet process. In AISTATS, volume 11, 2007.
15. Thibaux, R. and Jordan, M. Hierarchical beta processes and the indian buffet process. In AISTATS, 2007.
16. Wang, C., Blei, D., and Fei-Fei, L. Simultaneous image classification and annotation. In CVPR, 2009.
17. Yang, J., Yu, K., Gong, Y., and Huang, T. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009.
18. Zhou, M., Chen, H., Paisley, J., Ren, L., Sapiro, G., and Carin, L. Non-parametric bayesian dictionary learning for sparse image representations. In NIPS, 2009.
19. Zhou, M., Yang, H., Sapiro, G., Dunson, D., and Carin, L. Dependent hierarchical beta process for image interpolation and denoising. In AISTATS, 2011.