Max-margin latent dirichlet allocation for image classification and annotation

BMVC 2011 - Proceedings of the British Machine Vision Conference 2011

Volumn , Issue , 2011, Pages

  Wang, Yang ^a   Mori, Greg ^b  

^a University of Illinois at Urbana Champaign   (United States)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MODELS; STATISTICS;

BASELINE METHODS; IMAGE ANNOTATION; LATENT DIRICHLET ALLOCATION; MULTI-LABEL PROBLEMS; TOPIC MODEL;

IMAGE CLASSIFICATION;

EID: 84898481732     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.25.112     Document Type: Conference Paper

References (22)

1. Kobus Barnard, Pinar Duygulu, David Forsyth, Nando de Freitas, David M. Blei, and Michael I. Jordan. Matching words and pictures. Journal of Machine Learning Research, 3:1107-1135, 2003.
2. Tamara L. Berg, Alexander C. Berg, Jaety Edwards, Michael Maire, Ryan White, Yee Whye Teh, Erik Learned-Miller, and David A. Forsyth. Names and faces in the news. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004.
3. Alessandro Bissacco, Ming-Hsuan Yang, and Stefano Soatto. Detecting humans via their pose. In Advances in Neural Information Processing Systems, Volume 19, pages 169-176. MIT Press, 2007.
4. David M. Blei and Michael I. Jordan. Modeling annotated data. In Proc. of 26th International Conference on Research and Development in Information RetrievalSIGIR), 2003.
5. David M. Blei and John D. Lafferty. Correlated topic models. In Advances in Neural Information Processing Systems, Volume 18, 2006.
6. David M. Blei and Jon D. McAuliffe. Supervised topic models. In Advances in Neural Information Processing Systems, Volume 20. MIT Press, 2008.
7. David M. Blei, Andrew Y. Ng, and Michael I. Jordan. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:993-1022, 2003.
8. Koby Crammer and Yoram Singer. On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research, 2:265-292, 2001.
9. Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. ImageNet: A large-scale hierarchical image database. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2009.
10. Thomas Hofmann. Probabilistic latent semantic indexing. In Proceedings of Twenty-Second Annual International Conference on Research and Development in Information RetrievalSIGIR), pages 50-57, 1999.
11. Simon Lacoste-Julien, Fei Sha, and Michael I. Jordan. DiscLDA: Discriminative learning for dimensionality reduction and classification. In Advances in Neural Information Processing Systems, Volume 21. MIT Press, 2008.
12. Li-Jia Li and Li Fei-Fei. What, where and who? classifying events by scene and object recognition. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.
13. Li-Jia L.i., Richard Socher, and Li Fei-Fei. Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2009.
14. Nicolas Loeff and Ali Farhadi. Scene discovery by matrix factorization. In European Conference on Computer Vision, 2008.
15. David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
16. Aude Oliva and Antonio Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. International Journal of Computer Vision, 42(3): 145-175, 2001.
17. Bryan C. Russell, Alexei A. Efros, Josef Sivic, William T. Freeman, and Andrew Zisserman. Using multiple segmentations to discover objects and their extent in image collections. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006.
18. Bryan C. Russell, Antonio Torralba, Kevin P. Murphy, and William T. Freeman. La-belMe: A database and web-based tool for image annotation. International Journal of Computer Vision, 77(1-3): 157-173, 2008.
19. Yee Whye Teh, David Newman, and Max Welling. A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation. In Advances in Neural Information Processing Systems, 2006.
20. Chong Wang, David Blei, and Li Fei-Fei. Simultaneous image classification and annotation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2009.
21. Yang Wang and Greg Mori. Human action recognition by semilatent topic models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(10): 1762-1774, 2009.
22. Jun Zhu, Amr Ahmed, and Eric P. Xing. MedLDA: Maximum margin supervised topic models for regression and classification. In International Conference on Machine Learning, 2009.