Self-paced dictionary learning for image classification

MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia

Volumn , Issue , 2012, Pages 833-836

  Tang, Ye ^a   Yang, Yu Bin ^a   Gao, Yang ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

dictionary learning; image classification; self paced

Indexed keywords

ADAPTIVE THRESHOLDS; BASELINE METHODS; BENCHMARK DATASETS; CLASSIFICATION FRAMEWORK; CLASSIFICATION PERFORMANCE; COMPLEX SAMPLES; CONTEXTUAL INFORMATION; DICTIONARY LEARNING; LEARNING PROCEDURES; MULTIMEDIA CONTENT ANALYSIS; SELF-PACED; SPARSE REPRESENTATION; TRAINING DATA; TRAINING PROCEDURES; TRAINING SAMPLE;

BENCHMARKING; CLASSIFICATION (OF INFORMATION); IMAGE CLASSIFICATION; LEARNING ALGORITHMS; SAMPLING;

ITERATIVE METHODS;

EID: 84871387842     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2396324     Document Type: Conference Paper

References (18)

1. S. C. M. Bazara M S. Nonlinear Programming Theory and Algorithms. New York: John Wiley and Sons, 1979.
2. Y. Bengio, J. Louradour, R. Collobert, and J. Weston. Curriculum learning. In ICML, pages 41-48, 2009.
3. C.-F. Chen and Y.-C. F. Wang. Exploring self-similarities of bag-of-features for image classification. In MM, pages 1421-1424, 2011.
4. G. Davis, S. Mallat, and M. Avellaneda. Adaptive greedy approximations. In J. Construct. Approx, pages 57-98, 1997.
5. B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani. Least angle regression. In Annals of Statistics, pages 407-499, 2004.
6. S. hua Zhong, Y. Liu, and Y. Liu. Bilinear deep learning for image classification. In MM, pages 343-352, 2011.
7. Z. Jiang, Z. Lin, and L. S. Davis. Learning a discriminative dictionary for sparse coding via label consistent k-svd. In CVPR, pages 1697-1704, 2011.
8. M. P. Kumar, B. Packer, and D. Koller. Self-paced learning for latent variable models. In NIPS, pages 1189-1197, 2010.
9. M. P. Kumar, H. Turki, D. Preston, and D. Koller. Learning specific-class segmentation from diverse data. In ICCV, pages 1800-1807, 2011.
10. H. Lee, A. Battle, R. Raina, and A. Y. Ng. Efficient sparse coding algorithms. In NIPS, pages 801-808, 2006.
11. J. Mairal, F. Bach, and J. Ponce. Supervised translation-invariant sparse coding. In TPMAI, pages 791-804, 2012.
12. J. Mairal, F. Bach, J. Ponce, and G. Sapiro. Online dictionary learning for sparse coding. In ICML, pages 689-696, 2009.
13. R. Tibshirani. Egression shrinkage and selection via the lasso. In J. Royal Statistical, pages 267-288, 1996.
14. J. Wang, J. Yang, K. Yu, F. Lv, T. S. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, pages 3360-3367, 2010.
15. J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR, pages 1794-1801, 2009.
16. J. Yang, K. Yu, and T. Huang. Supervised translation-invariant sparse coding. In CVPR, pages 3517-3524, 2010.
17. H. Zhang, J. Yang, Y. Zhang, and T. Huang. Close the loop: Joint blind image restoration and recognition with sparse representation prior. In ICCV, pages 770-777, 2011.
18. H. Zou and T. Hastie. Regularization and variable selection via the elastic net. In J. Royal Statistical Soc, pages 301-320, 2005.