Learning image representations from the pixel level via hierarchical sparse coding

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

Volumn , Issue , 2011, Pages 1713-1720

  Yu, Kai ^a   Lin, Yuanqing ^a   Lafferty, John ^b  

^a NEC LABORATORIES AMERICA   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENCODING (SYMBOLS); OBJECT RECOGNITION; PIXELS;

CODEBOOK LEARNING; DATA ENCODING; DIGIT RECOGNITION; IMAGE REPRESENTATIONS; LOCAL REGION; PIXEL LEVEL; SECOND LAYER; SPARSE CODING;

IMAGE CODING;

EID: 80052889296     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995732     Document Type: Conference Paper

References (21)

1. S. Bengio, F. Pereira, Y. Singer, and D. Strelow. Group sparse coding. In NIPS, pages 82-89. 2009. 1713, 1714
2. Y. Bengio, P. Lamblin, D. Popovici, and H. Larochelle. Greedy layer-wise training of deep networks. In NIPS, 2007. 1717
3. D. P. Bertsekas. Nonlinear programming. Athena Scientific, 2003. 1716
4. S. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, 2004. 1715
5. D. M. Bradley and J. A. Bagnell. Differential sparse coding. In NIPS, 2008. 1713, 1719
6. G. Csurka, C. Dance, L. Fan,. J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In Workshop on Statistical Learning in Computer Vision, ECCV, 2004. 1713
7. 1 -ball for learning in high dimensions. In ICML, 2008. 1716
8. G. E. Hinton and R. R. Salakhutdinov. Reducing the dimensionality of data with neural networks. Science, 313(5786):504-507, 2006. 1717
9. K. Kavukcuoglu, P. Sermanet, Y.-L. Boureau, K. Gregor, M. Mathieu, and Y. LeCun. Learning convolutional feature hierachies for visual recognition. In NIPS, 2010. 1720
10. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006. 1719, 1720
11. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the. IEEE, 86(11):2278-2324, 1998. 1719
12. H. Lee, A. Battle, R. Raina, and A. Y. Ng. Efficient sparse coding algorithms. In NIPS, 2006. 1716
13. H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, 2009. 1717, 1719, 1720
14. D. G. Lowe. Distinctive image features from scale invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004. 1717
15. J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Supervised dictionary learning. NIPS, 21, 2008. 1713, 1719
16. F. MarcAurelio Ranzato, Y. Boureau, and Y. Le-Cun. Unsupervised learning of invariant feature hierarchies with applications to object recognition. In CVPR, 2007. 1717
17. B. A. Olshausen and D. J. Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381, 1996. 1713
18. R. Raina, A. Battle, H. Lee, B. Packer, and A. Ng. Self-taught learning: Transfer learning from unlabeled data. In ICML. 1713, 1719, 1720
19. M. Ranzato, Y.-L. Boureau, and Y. LeCun. Sparse feature learning for deep belief networks. In NIPS, 2007. 1713
20. J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009. 1713, 1717, 1719, 1720
21. K. Yu and T. Zhang. Improved local coordinate coding using local tangents. In ICML, 2010. 1719