Heterogeneous feature selection by group lasso with logistic regression

MM'10 - Proceedings of the ACM Multimedia 2010 International Conference

Volumn , Issue , 2010, Pages 983-986

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

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

feature selection; group lasso; logistic regression

Indexed keywords

DISCRIMINATIVE FEATURES; FEATURE SELECTION; GROUP LASSO; HETEROGENEOUS FEATURES; HIGH-DIMENSIONAL; IMAGE ANNOTATION; LOGISTIC REGRESSION; LOGISTIC REGRESSIONS;

IMAGE UNDERSTANDING; REGRESSION ANALYSIS;

FEATURE EXTRACTION;

EID: 78650979629     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1873951.1874129     Document Type: Conference Paper

References (14)

1. L. Cao, J. Luo, F. Liang, and T. Huang. Heterogeneous feature machines for visual recognition. Proceedings of the IEEE Internation Conference on Computer Vision(ICCV), 2009.
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(CIVR), pages 1-9. ACM, 2009.
3. T. Fawcett. An introduction to ROC analysis. Pattern Recognition Letters, 27(8):861-874, 2006.
4. D. Hardoon, S. Szedmak, and J. Shawe-Taylor. Canonical correlation analysis: an overview with application to learning methods. Neural Computation, 16(12):2639-2664, 2004.
5. 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(KDD), pages 381-389. ACM, 2008.
6. S. Ji and J. Ye. Linear dimensionality reduction for multi-label classification. In Proceedings of the International Joint Conference on Artifical Intelligence(IJCAI), pages 1077-1082. Morgan Kaufmann Publishers Inc., 2009.
7. 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.
8. 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.
9. P. Mallapragada, R. Jin, and A. Jain. Online Visual Vocabulary Pruning Using Pairwise Constraints. Proceedings of Computer Vision and Pattern Recognition (CVPR), 2010.
10. L. Meier, S. Van de Geer, and P. Bühlmann. The group lasso for logistic regression. Journal of the Royal Statistical Society. Series B (Methodological), 70(1):53, 2008.
11. P. Rai and H. Daumé III. Multi-label Prediction via Sparse Infinite CCA. Proceedings of the Conference on Neural Information Processing Systems(NIPS), 2009.
12. J. Yang, K. Yu, Y. Gong, and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. Proceedings of Computer Vision and Pattern Recognition (CVPR), 2009.
13. M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society. Series B (Methodological), 68(1):49, 2006.
14. S. Zhang, J. Huang, Y. Huang, Y. Yu, H. Li, and D. Metaxas. Automatic Image Annotation Using Group Sparsity. Proceedings of Computer Vision and Pattern Recognition (CVPR), 2010.