Feature selection for multimedia analysis by sharing information among multiple tasks

IEEE Transactions on Multimedia

Volumn 15, Issue 3, 2013, Pages 661-669

  Yang, Yi ^a   Ma, Zhigang ^b   Hauptmann, Alexander G ^a   Sebe, Nicu ^b  

^a Carnegie Mellon University   (United States)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

3D motion data annotation; Action recognition; Image classification; Multitask feature selection

Indexed keywords

3D MOTION; ACTION RECOGNITION; FEATURE CORRELATION; FEATURE SELECTION ALGORITHM; ITERATIVE ALGORITHM; MULTI-MEDIA ANALYSIS; SHARING INFORMATION; SUPPLEMENTARY INFORMATION;

IMAGE CLASSIFICATION;

ALGORITHMS;

EID: 84897584116     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2012.2237023     Document Type: Article

References (39)

1. R. K. Ando and T. Zhang, "A framework for learning predictive structures from multiple tasks and unlabeled data," J. Mach. Learn. Res., Vol. 6, pp. 1817-1853, 2005.
2. A. Argyriou, T. Evgeniou, and M. Pontil, "Convex multi-task feature learning," Mach. Learn., Vol. 73, pp. 243-272, 2008.
3. L. Bao et al, "Informedia @ Trecvid," in Proc. Trecvid Video Retrieval Evaluation Workshop, NIST, 2011.
4. R. Caruana, "Multitask learning," Mach. Learn., Vol. 28, no. 1, pp. 41-75, 1997. (Pubitemid 127507169)
5. C. Chen, Y. Zhuang, F. Nie, Y. Yang, F. Wu, and J. Xiao, "Learning a 3D human pose distance metric from geometric pose descriptor," IEEE Trans. Visualiz. Comput. Graph., vol 17, no. 11, pp. 1676-1689, 2011.
6. X. Chen, A. Hero, and S. Savarese, "Multimodal video indexing and retrieval using directed information," IEEE Trans. Multimedia, Vol. 14, no. 1, pp. 3-16, 2012.
7. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd ed. New York, NY, USA: Wiley, 2001.
8. M. Dudík, Z. Harchaoui, and J. Malick, "Lifted coordinate descent for learning with trace-norm regularization," J. Mach. Learn. Res.-Proc. Track, Vol. 22, pp. 327-336,2012.
9. J. Fan, H. Luo, Y. Gao, and R. Jain, "Incorporating concept ontology for hierarchical video classification, annotation, and visualization," IEEE Trans. Multimedia, Vol. 9, no. 5, pp. 939-957, 2007. (Pubitemid 47171251)
10. G. Fung and O. L. Mangasarian, "Multicategory proximal support vector machine classifiers," Mach. Learn, Vol. 59, no. 1-2, pp. 77-97, 2005. (Pubitemid 40890413)
11. A. Georghiades, P. Belhumeur, and D. Kriegman, "From few to many: Illumination cone models for face recognition under variable lighting and pose," IEEE Trans. Pattern Anal. Mach Intell, Vol. 23, no. 6, pp. 643-660, 2001. (Pubitemid 32585276)
12. M. A. Hall and L. A. Smith, "Feature selection for machine learning: Comparing a correlation-based filter approach to the wrapper," in Proc. AAAI, 1999.
13. A. G. Hauptmann, R. Yan, W.-H. Lin, M. G. Christel, and H. D. Wactlar, "Can high-level concepts fill the semantic gap in video retrieval? a case study with broadcast news," IEEE Trans. Multimedia, Vol. 9, no. 5, pp. 958-966, 2007. (Pubitemid 47171252)
14. T. Jebara, "Multitask sparsity via maximum entropy discrimination," J. Mach. Learn. Res., Vol. 12, pp. 75-110, Feb. 2011.
15. S. Ji, L. Tang, S. Yu, and J. Ye, "A shared-subspace learning framework for multi-label classification," ACM Trans. Knowl. Discov. Data, Vol. 4, no. 2, pp. 1-29, 2010.
16. H. Li, Y. Shi, M. Chen, A. G. Hauptmann, and Z. Xiong, "Hybrid active learning for cross-domain video concept detection," in Proc. ACM Multimedia, 2010, pp. 1003-1006.
17. Z. Li, Y. Yang, J. Liu, X. Zhou, and H. Lu, "Unsupervised feature selection using nonnegative spectral analysis," in Proc. AAAI, 2012.
18. H. Liu and L. Yu, "Feature selection for high-dimensional data: A fast correlation-based filter solution," in Proc. ICML, 2003.
19. M. J. Lyons, J. Budynek, and S. Akamatsu, "Automatic classification of single facial images," IEEE Trans. Pattern Anal. Mach. Intell., Vol. 21, no. 12, pp. 1357-1362, 1999. (Pubitemid 30568926)
20. Z. Ma, F. Nie, Y. Yang, J. R. R. Uijlings, and N. Sebe, "Web image annotation via subspace-sparsity collaborated feature selection," IEEE Trans. Multimedia, Vol. 14, no. 4, pp. 1021-1030, 2012.
21. Z. Ma, Y. Yang, Y. Cai, N. Sebe, and A. Hauptmann, "Knowledge adaptation for Ad Hoc multimedia event detection with few examplars," in Proc. ACM Multimedia, 2012.
22. Z. Ma, Y. Yang, F. Nie, J. R. R. Uijlings, and N. Sebe, "Exploiting the entire feature space with sparsity for automatic image annotation," in Proc. ACM Multimedia, 2011.
23. F. Nie, H. Huang, X. Cai, and C. Ding, "Efficient and robust feature selection via joint-norms minimization," in Proc. NIPS, 2010.
24. F. Nie, H. Huang, and C. H. Q. Ding, "Low-rank matrix recovery via efficient schatten p-norm minimization," in Proc. AAAI, 2012.
25. H. Ning, W. Xu, Y. Gong, and T. Huang, "Discriminative learning of visual words for 3d human pose estimation," in Proc. CVPR, 2008.
26. G. Obozinski and B. Taskar, "Multi-task feature selection," in Proc. Workshop Structural Knowledge Transfer for Machine Learning in ICML, 2006.
27. G. Obozinski, B. Taskar, and M. I. Jordan, "Joint covariate selection and joint subspace selection for multiple classification problems," Statist. Comput., Vol. 20, no. 2, pp. 231-252, 2010.
28. H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy, " IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, no. 8, pp. 1226-1238, 2005. (Pubitemid 41245053)
29. F. Samaria and A. Harter, "Parameterisation of a stochastic model for human face identification," in Proc. IEEE Workshop Applications of Computer Vision, 1994.
30. C. Schuldt, I. Laptev, and B. Caputo, "Recognizing human actions: A local SVM approach," in Proc. ICPR, 2004.
31. L. Shao and R. Mattivi, "Feature detector and descriptor evaluation in human action recognition," in Proc. ACM CIVR, 2010.
32. L. Talavera, "An evaluation of filter and wrapper methods for feature selection in categorical clustering," in Proc. IDA, 2005.
33. H. Wang, M. M. Ullah, A. Kläser, I. Laptev, and C. Schmid, "Evaluation of local spatio-temporal features for action recognition," in Proc. BMVC, 2009.
34. J. Yang, R. Yan, and A. G. Hauptmann, "Cross-domain video concept detection using adaptive SVMs," in Proc. ACM Multimedia, 2007, pp. 188-197.
35. Y. Yang, F. Nie, D. Xu, J. Luo, Y. Zhuang, and Y. Pan, "A multimedia retrieval framework based on semi-supervised ranking and relevance feedback," IEEE Trans. Pattern Anal. Mach. Intell., Vol. 34, no. 4, pp. 723-742, 2012.
36. Y. Yang, H. T. Shen, Z. Ma, Z. Huang, and X. Zhou, "Norm regularized discriminative feature selection for unsupervised learning," in Proc. IJCAI, 2011.
37. Y. Yang, F. Wu, F. Nie, H. T. Shen, Y. Zhuang, and A. G. Hauptmann, "Web and personal image annotation by mining label correlation with relaxed visual graph embedding," IEEE Trans. Image Process., Vol. 21, no. 3, pp. 1339-1351, 2012.
38. Y. Yang, Y. Zhuang, F. Wu, and Y. Pan, "Harmonizing hierarchical manifolds for multimedia document semantics understanding and cross-media retrieval," IEEE Trans. Multimedia, Vol. 10, no. 3, pp. 437-446, 2008. (Pubitemid 351459506)
39. Z. Zhao and H. Liu, "Sprectral feature selection for supervised and unsupervised learning," in Proc. ICML, 2007.