Image annotation by composite kernel learning with group structure

MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops

Volumn , Issue , 2011, Pages 1497-1500

  Yuan, Ying ^a   Wu, Fei ^a   Zhuang, Yueting ^a   Shao, Jian ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Composite kernel learning; Feature selection; Group structure; Image annotation

Indexed keywords

COMPOSITE KERNELS; DISCRIMINATIVE FEATURES; GROUP STRUCTURE; HETEROGENEOUS FEATURES; HIGH-DIMENSIONAL; IMAGE ANNOTATION; IMAGE DATA; REPRODUCING KERNEL HILBERT SPACES; VISUAL FEATURE;

HILBERT SPACES; IMAGE ANALYSIS;

FEATURE EXTRACTION;

EID: 84455207566     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2072298.2072049     Document Type: Conference Paper

References (10)

1. F. Bach, G. Lanckriet, and M. Jordan. Multiple kernel learning, conic duality, and the SMO algorithm. In Proceedings of the twenty-first international conference on Machine learning, page 6. ACM, 2004.
2. T. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y. Zheng. Nus-wide: A real-world web image database from national university of singapore. In Proceeding of the ACM International Conference on Image and Video Retrieval, pages 1-9. ACM, 2009.
3. S. Ji, L. Tang, S. Yu, and J. Ye. Extracting shared subspace for multi-label classification. In Proceeding of the International Conference on Knowledge Discovery and Data Mining, pages 381-389. ACM, 2008.
4. S. Ji and J. Ye. Linear dimensionality reduction for multi-label classification. In Proceedings of the International Joint Conference on Artifical Intelligence, pages 1077-1082. Morgan Kaufmann Publishers Inc., 2009.
5. G. Lanckriet, N. Cristianini, P. Bartlett, L. Ghaoui, and M. Jordan. Learning the kernel matrix with semidefinite programming. The Journal of Machine Learning Research, 5:27-72, 2004.
6. H. Li, M. Wang, and X. Hua. MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset. In 2009 IEEE International Conference on Data Mining Workshops, pages 164-169. IEEE, 2009.
7. A. Loui, J. Luo, S. Chang, D. Ellis, W. Jiang, L. Kennedy, K. Lee, and A. Yanagawa. Kodak's consumer video benchmark data set: concept definition and annotation. In Proceedings of the International Workshop on Multimedia Information Retrieval, page 254. ACM, 2007.
8. M. Szafranski, Y. Grandvalet, and A. Rakotomamonjy. Composite kernel learning. In Proceedings of the 25th international conference on Machine learning, pages 1040-1047. ACM, 2008.
9. R. Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological), 58(1):267-288, 1996.
10. F. Wu, Y. Yuan, and Y. Zhuang. Heterogeneous feature selection by group lasso with logistic regression. In Proceedings of the international conference on Multimedia, pages 983-986. ACM, 2010.