Group sparse coding

Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference

Volumn , Issue , 2009, Pages 82-89

  Bengio, Samy ^a   Pereira, Fernando ^a   Singer, Yoram ^a   Strelow, Dennis ^a  

^a GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; IMAGE CODING; IMAGE REPRESENTATION; VIDEO SIGNAL PROCESSING;

BAG OF WORDS; DESCRIPTORS; DOCUMENT REPRESENTATION; GROUP SPARSE; IMAGE AND VIDEO PROCESSING; SPARSE CODING; SPARSE REPRESENTATION; TEXT IMAGES; TEXT-PROCESSING; WORD DOCUMENTS;

CLASSIFICATION (OF INFORMATION);

EID: 84858744056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison Wesley, Harlow, England, 1999.
2. J. Duchi and Y. Singer. Boosting with structural sparsity. In International Conference on Machine Learning (ICML), 2009.
3. M. Elad and M. Aharon. Image denoising via sparse and redundant representation over learned dictionaries. IEEE Transaction on Image Processing, 15(12):3736-3745, 2006.
4. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results. http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html.
5. H. Lee, A. Battle, R. Raina, and A. Y. Ng. Efficient sparse coding algorithms. In Advances in Neural Information Processing Systems (NIPS), 2007.
6. D. G. Lowe. Object recognition from local scale-invariant features. In International Conference on Computer Vision (ICCV), pages 1150-1157, 1999.
7. J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online dictionary learning for sparse coding. In International Conference on Machine Learning (ICML), 2009.
8. J. Mairal, M. Elad, and G. Sapiro. Sparse representation for color image restoration. IEEE Transaction on Image Processing, 17(1), 2008.
9. J. Mairal, M. Leordeanu, F. Bach, M. Hebert, and J. Ponce. Discriminative sparse image models for class-specific edge detection and image interpretation. In European Conference on Computer Vision (ECCV), 2008.
10. S. Negahban and M. Wainwright. Phase transitions for high-dimensional joint support recovery. In Advances in Neural Information Processing Systems 22, 2008.
11. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
12. G. Obozinski, B. Taskar, and M. Jordan. Joint covariate selection for grouped classification. Technical Report 743, Dept. of Statistics, University of California Berkeley, 2007.
13. B. A. Olshausen and D. J. Field. Sparse coding with an overcomplete basis set: A strategy employed by v1? Vision Research, 37, 1997.
14. P. Quelhas, F. Monay, J. M. Odobez, D. Gatica-Perez, T. Tuytelaars, and L. J. Van Gool. Modeling scenes with local descriptors and latent aspects. In International Conference on Computer Vision (ICCV), 2005.
15. E. Tola, V. Lepetit, and P. Fua. A fast local descriptor for dense matching. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
16. J. yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.