On deep generative models with applications to recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2011, Pages 2857-2864

  Ranzato, Marc'Aurelio ^a   Susskind, Joshua ^b   Mnih, Volodymyr ^a   Hinton, Geoffrey ^a  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; PIXELS;

DEEP BELIEF NETWORK (DBN); DISCRIMINATIVE METHODS; GENERATIVE MODEL; IMAGE PATCHES; NATURAL IMAGES; PROBABILISTIC MODELS; SIFT DESCRIPTORS; STATISTICAL LEARNING;

PATTERN RECOGNITION;

EID: 80052877144     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995710     Document Type: Conference Paper

References (25)

1. H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool. Surf: Speeded up robust features. In Computer Vision and Image Understanding, 2008. 2857
2. A. Bosch, A. Zisserman, and X. Munoz. Representing shape with a spatial pyramid kernel. In CIVR, 2007. 2857
3. M. Dailey, G. Cottrell, R. Adolphs, and C. Padgett. Empath: A neural network that categorizes facial expressions. Journal of Cognitive Neuroscience, 14:1158-1173, 2002. 2863
4. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005. 2857
5. J. Deng, W. Dong, R. Socher, L. Li, K. Li, and L. Fei-Fei. Imagenet: a large-scale hierarchical image database. In CVPR, 2009. 2861
6. B. Fasel, I. Fortenberry and J. Movellan. A generative framework for real-time object detection and classification. In CV Image Understanding, 2005. 2862
7. G. Hinton, S. Osindero, and Y.-W. Teh. A fast learning algorithm for deep belief nets. Neural Comp., 18:1527-1554, 2006. 2858, 2860
8. T. Kanade, J. Cohn, and Y. Tian. Comprehensive database for facial expression analysis. In Int. Conf. on Automatic Face and Gesture Recognition, pages 46-53, 2000. 2861
9. K. Kavukcuoglu, M. Ranzato, R. Fergus, and Y. LeCun. Learning invariant features through topographic filter maps. In CVPR, 2009. 2857, 2858
10. H. Larochelle and Y. Bengio. Classification using discriminative restricted boltzmann machines. In ICML, 2008. 2858
11. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, June 2006. 2857, 2861
12. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998. 2857
13. H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In Proc. ICML, 2009. 2857, 2858, 2863
14. G. Littlewort, M. Bartlett, I. Fasel, J. Susskind, and J. Movellan. Dynamics of facial expression extracted automatically from video. Computer Vision and Pattern Recognition Workshop, 5:80, 2004. 2863
15. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 2004. 2857
16. V. Mnih. Cudamat: a CUDA-based matrix class for python. Technical Report UTML TR 2009-004, Dept. Computer Science, Univ. of Toronto, 2009. 2864
17. R. Raina, A. Battle, H. Lee, B. Packer, and A. Ng. Selftaught learning: Transfer learning from unlabeled data. In ICML, 2007. 2858, 2862
18. M. Ranzato, V. Mnih, and G. Hinton. Generating more realistic images using gated mrf's. In NIPS, 2010. 2858, 2859, 2860, 2861
19. U. Schmidt, Q. Gao, and S. Roth. A generative perspective on mrfs in low-level vision. In CVPR, 2010. 2858, 2863
20. E. Simoncelli. Statistical modeling of photographic images. Handbook of Image and Video Processing, pages 431-441, 2005. 2858
21. J. M. Susskind, A. K. Anderson, and G. E. Hinton. The Toronto face database. Technical report, Toronto, ON, Canada, 2010. 2861, 2862
22. T. Tieleman and G. Hinton. Using fast weights to improve persistent contrastive divergence. In ICML, 2009. 2860
23. P. Vincent, H. Larochelle, Y. Bengio, and P. Manzagol. Extracting and composing robust features with denoising autoencoders. In ICML, 2008. 2858
24. J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI, 2008. 2862, 2864
25. S. Zhu and D. Mumford. Prior learning and gibbs reaction diffusion. PAMI, pages 1236-1250, 1997. 2860