Learning directional local pairwise bases with sparse coding

British Machine Vision Conference, BMVC 2010 - Proceedings

Volumn , Issue , 2010, Pages

  Morioka, Nobuyuki ^a   Satoh, Shin'ichi ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

OBJECT RECOGNITION;

COMBINATORIAL EXPLOSION; DIRECTIONAL INFORMATION; K-MEANS CLUSTERING; OBJECT AND SCENES; RECOGNITION ACCURACY; SPARSE CODING; SPATIAL FEATURES; STATE-OF-THE-ART PERFORMANCE;

COMPUTER VISION;

EID: 84898406350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.24.32     Document Type: Conference Paper

References (32)

1. J. Amores, N. Sebe, and P. Radeva. Context-based object-class recognition and retrieval by generalized correlograms. TPAMI, 2007.
2. O. Boiman, E. Shechtman, and M. Irani. In defence of Nearest-Neighbor based image classification. In CVPR, 2008.
3. M. Elad and M. Aharon. Image denoising via sparse and redundant representations over learned dictionaries. TIP, 2006.
4. M. Everingham, L. Van Gool, C.K. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results, 2007.
5. L. Fei-Fei, R. Fergus, and P. Perona. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories. In CVPR Workshop, 2004.
6. G. Griffin, A. Holub, and P. Perona. Caltech 256 object category dataset. Technical Report UCB/CSD-04-1366, California Institute of Technology, 2006.
7. P. Jain, B. Kulis, and K. Grauman. Fast image search for learned metrics. In CVPR, 2008.
8. K. Kavukcuoglu, M. Ranzato, R. Fergus, and Y. LeCun. Learning Invariant Feature through Topographic Filter Maps. In CVPR, 2009.
9. S. Lazebnik, C. Schmid, and J. Ponce. A Maximum Entropy Framework for Part-Based Texture and Object Recognition. In ICCV, 2005.
10. S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In CVPR, 2006.
11. H. Lee, A. Battle, R. Raina, and A.Y. Ng. Efficient sparse coding algorithms. In NIPS, 2006.
12. H. Lee, R. Grosse, R. Ranganath, and A.Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, 2009.
13. H. Ling and S. Soatto. Proximity Distribution Kernels for Geometric Context in Category Recognition. In ICCV, 2007.
14. D. Liu, G. Hua, P. Viola, and T. Chen. Integrated feature selection and higher-order spatial feature extraction for object categorization. In CVPR, 2008.
15. D.G. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. IJCV, 2004.
16. J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman. Discriminative Learned Dictionaries for Local Image Analysis. In CVPR, 2008.
17. J. Mairal, M. Elad, and G. Sapiro. Sparse representation for color image restoration. TIP, 2008.
18. J. Mairal, M. Leordeanu, F. Bach, M. Hebert, and J. Ponce. Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. In ECCV, 2008.
19. N. Morioka and S. Satoh. Building Compact Local Pairwise Codebook with Joint Feature Space Clustering. In ECCV, 2010.
20. B.A. Olshausen and D.J. Field. Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research, 37, 1997.
21. R. Raina, A. Battle, H. Lee, B. Packer, and A.Y. Ng. Self-taught learning: Transfer learning from unlabeled data. In ICML, 2007.
22. M. Ranzato, F.J. Huang, Y. Boureau, and Y. LeCun. Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition. In CVPR, 2007.
23. S. Savarese, J. Winn, and A. Criminisi. Discriminative Object Class Models of Appearance and Shape by Correlatons. In CVPR, 2006.
24. J. Sivic, B.C. Russell, A.A. Efros, A. Zisserman, and W.T. Freeman. Discovering objects and their location in images. In ICCV, 2005.
25. J.R.R. Uijlings, A.W.M. Smeulders, and R.J.H. Scha. Real-time Bag of Words. In CIVR, 2009.
26. J.C. van Gemert, C.J. Veenman, and J.M. Geusebroek. Visual Word Ambiguity. TPAMI, 2010.
27. J. Winn, A. Criminisi, and T. Minka. Object Categorization by Learned Universal Visual Dictionary. In CVPR, 2005.
28. J. Wu and J.M. Rehg. Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel. In ICCV, 2009.
29. J. Yang, K. Yu, Y. Gong, and T.S. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009.
30. Y. Zhang and T. Chen. Efficient Kernels for identifying unbounded-order spatial features. In CVPR, 2009.
31. X. Zhou, N. Cui, Z. Li, F. Liang, and T.S. Huang. Hierarchical Gaussianization for Image Classification. In ICCV, 2009.
32. L. Zhu, Y. Chen, and A. Yuille. Unsupervised learning of Probabilistic Grammar-Markov Models for object categories. TPAMI, 2009.