Multi-level discriminative dictionary learning towards hierarchical visual categorization

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

Volumn , Issue , 2013, Pages 383-390

  Shen, Li ^a   Wang, Shuhui ^b   Sun, Gang ^a,c   Jiang, Shuqiang ^b   Huang, Qingming ^a,b  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^c INSTITUTE OF SOFTWARE   (China)

Author keywords

Categorization; Dictionary learning; Hierarchical structure

Indexed keywords

CATEGORIZATION; CLASSIFICATION MODELS; DICTIONARY LEARNING; DIFFERENT GRANULARITIES; DISCRIMINATIVE DICTIONARIES; HIERARCHICAL STRUCTURES; STATE-OF-THE-ART METHODS; VISUAL CATEGORIZATION;

PATTERN RECOGNITION;

IMAGE CLASSIFICATION;

EID: 84887387189     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.56     Document Type: Conference Paper

References (35)

1. E. Bart, I. Porteous, P. Perona, and M. Welling. Unsupervised learning of visual taxonomies. In CVPR, 2008.
2. Y.-L. Boureau, F. Bach, Y. LeCun, and J. Ponce. Learning mid-level features for recognition. In CVPR, 2010.
3. N. Cesa-Bianchi, C. Gentile, and L. Zaniboni. Incremental algorithms for hierarchical classification. JMLR, 7:31-54, 2006.
4. M. Choi, A. Torralba, and A. Willsky. A tree-based context model for object recognition. TPAMI, 34(2):240-252, 2012.
5. O. Dekel, J. Keshet, and Y. Singer. Large margin hierarchical classification. In ICML, 2004.
6. J. Deng, A. Berg, K. Li, and L. Fei-Fei. What does classifying more than 10,000 image categories tell us? In ECCV, 2010.
7. J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A large-scale hierarchical image database. In CVPR, 2009.
8. T. Deselaers and V. Ferrari. Visual and semantic similarity in ImageNet. In CVPR, 2011.
9. L. Fei-Fei and P. Perona. A bayesian heirarchical model for learning natural scene categories. In CVPR, 2005.
10. S. Fidler, M. Boben, and A. Leonardis. Similarity-based cross-layered hierarchical representation for object categorization. In CVPR, 2008.
11. G. Griffin and P. Perona. Learning and using taxonomies for fast visual categorization. In CVPR, 2008.
12. R. Jenatton, J. Mairal, G. Obozinski, and F. Bach. Proximal methods for sparse hierarchical dictionary learning. In ICML, 2010.
13. T. Joachims, T. Finley, and C. Yu. Cutting plane training of structural svms. Machine Learning, 77(1):27-59, 2009.
14. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bag of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
15. H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. In ICML, 2009.
16. H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng. Unsupervised learning of hierarchical representations with convolutional deep belief networks. Commun. ACM, 54:95-103, 2011.
17. J. Mairal, F. Bach, and J. Ponce. Task-driven dictionary learning. TPAMI, 34(4):791-804, 2012.
18. J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online learning for matrix factorization and sparse coding. JMLR, pages 19-60, 2010.
19. M. Marszalek and C. Schmid. Semantic hierarchies for visual object recognition. In CVPR, 2007.
20. D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In CVPR, 2006.
21. B. Olshausen and D. Field. Sparse coding with an overcomplete basis set: a strategy employed by v1? Vision Research, 37:3311-3325, 1997.
22. R. Salakhutdinov, A. Torralba, and J. Tenenbaum. Learning to share visual appearance for multiclass object detection. In CVPR, 2011.
23. L. Shen, S. Jiang, S. Wang, and Q. Huang. Learning-to-share based on finding groups for large scale image classification. In PCM, 2011.
24. J. Sivic, B. Russell, A. Efros, A. Zisserman, andW. Freeman. Discovering object categories in image collections. In ICCV, 2005.
25. A. Torralba, K. Murphy, andW. Freeman. Sharing visual features for multiclass and multiview object detection. TPAMI, 29(5):854-869, 2007.
26. J. Wang, J. Yang, K. Yu, and F. Lv. Locality-constrained linear coding for image classification. In CVPR, 2010.
27. J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba. SUN database: Large-scale scene recognition from abbey to zoo. In CVPR, 2010.
28. J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, 2009.
29. M. Yang, L. Zhang, X. Feng, and D. Zhang. Fisher discrimination dictionary learning for sparse representation. In ICCV, 2011.
30. K. Yu, Y. Lin, and J. Lafferty. Learning image representations from the pixel level via hierarchical sparse coding. In CVPR, 2011.
31. K. Yu, T. Zhang, and Y. Gong. Nonlinear learning using local coordinate coding. In NIPS, 2009.
32. B. Zhao, L. Fei-Fei, and E. Xing. Large-scale category structure aware aware categorization. In NIPS. 2011.
33. D. Zhou, L. Xiao, and M. Wu. Hierarchical classification via orthogonal transfer. In ICML, 2011.
34. N. Zhou, Y. Shen, J. Peng, and J. Fan. Learning inter-related visual dictionary for object recognition. In CVPR, 2012.
35. A. Zweig and D. Weinshall. Exploiting object hierarchy: Combining models from different category levels. In ICCV, 2007.