Binary sparse nonnegative matrix factorization

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 19, Issue 5, 2009, Pages 772-777

  Yuan, Yuan ^a   Li, Xuelong ^b   Pang, Yanwei ^c   Lu, Xin ^c   Tao, Dacheng ^d  

^a ASTON UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF LONDON   (United Kingdom)

^c TIANJIN UNIVERSITY   (China)

^d NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Fast algorithms; Non negative matrix factorization; Part based representation; Sparseness; Subspace selection

Indexed keywords

FAST ALGORITHMS; NON-NEGATIVE MATRIX FACTORIZATION; PART-BASED REPRESENTATION; SPARSENESS; SUBSPACE SELECTION;

BLIND SOURCE SEPARATION; LIGHT MEASUREMENT; PRINCIPAL COMPONENT ANALYSIS;

FACTORIZATION;

EID: 67249096976     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2009.2017306     Document Type: Article

References (22)

1. X. Li, S. Lin, S. Yan, and D. Xu, "Discriminant locally linear embedding with high-order tensor data," IEEE Trans. Syst., Man, Cybern., Part B, vol.38, no. 2, pp. 342-352, Apr. 2008.
2. J. Sun, D. Tao, S. Papadimitriou, P. S. Yu, and C. Faloutsos, "Incremental tensor analysis: Theory and applications." ACM Trans. Know. Data Discovery, vol.2, no. 3, pp. 1-37, Oct. 2008.
3. T. Zhang, D. Tao, X. Li, and J. Yang, "Patch alignment for dimensionality reduction." IEEE Trans. Know. Data Eng., Oct. 10, 2008. IEEE computer Society Digital Library.
4. D. Cai, X. He, and J. Han, "SRDA: An efficient algorithm for large scale discriminant analysis," IEEE Trans. Know. Data Eng., vol.20, no. 1. pp. 1-12, Jan. 2008.
5. X. He. S. Yan, Y. Hu, P. Nyogi, and H.-J. Zhang, "Face recognition using laplacianfaces," IEEE Trans. Pattern Anal. Mach. Intell., vol.27. no. 3, pp. 328-340, Mar. 2005.
6. J. Ye, Q. Li, H. Xiong, H. Park, R. Janardan, and V. Kumar, "IDR/QR: An incremental dimension reduction algorithm via QR decomposition," IEEE Trans. Knowledge and Data Eng., vol.17. no. 9. pp. 1208-1222, Sep. 2005.
7. J.YeandT.Xiang," Computationalandtheoreticalanalysis ofnullspaceandorthogonallineardiscriminantanalysis,"J.Mach.Learn.Res.,vol. 7.pp.1183-1204.2006.(Pubitemid44015300)
8. Y. Fu, S. Yan, and T. S. Huang, "Classification and feature extraction by simplexization," IEEE Trans. Inf. Forensics Secur., vol.3, no. 1, pp. 91-100. Mar. 2008.
9. T. Zhang, D. Tao, and J. Yang, "Discriminative locality Alignment," in Proc. 10th Eur. Conf. Comput. Vision, Marseille, France, 2008, pp. 725-738.
10. D. Tao, X. Li, X. Wu, and S. J. Maybank, "Geometric mean for subspace selection," IEEE Trans. Pattern Anal. Much. Intell., vol.31, no. 2. pp. 260-274, Feb. 2009.
11. D. Tao, X. Li, X. Wu, and S. J. Maybank, "General tensor discriminant analysis and gabor features for gait recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol.29, no. 10, pp. 1700-1715, Oct. 2007.
12. P. Belhumeur, J. Hespanha, and D. Kriengman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projections," IEEE Trans. Pattern Anal. Mach. Intell., vol.19, no. 7, pp. 771-1720, Jul. 1997.
13. S. Mallat and Z. Zhang, "Matching pursuit with time-frequency dictionaries," IEEE Trans. Signal Process., vol.4.1, no. 12, pp. 3397-3415, Dec. 1993.
14. P. O. Hoyer, "Non-negative matrix factorization with sparseness constraints," J. Mach. Learning Res., vol.5, pp. 1457-1469, Dec. 2004.
15. D. D. Lee and H. S. Seung, "Learning the parts of objects by nonnegative matrix factorization," Nature, vol.401, no. 6755, pp. 788-792, Oct. 1999.
16. M. Turk and A. Pentalnd, "Eigenfaces for recognition," J. Cognitive Neurosci., vol.3, no. 1, pp. 71-86, Mar. 1991.
17. F. Tang et al., "Representing images using non-orthogonal haar-like bases," IEEE Trans. Pattern Anal. Mack Intell., vol.29, no. 12, pp. 2120-2134, Dec. 2007.
18. Y. Pati, R. Rezaiifar, and P. Krishnaprasad, "Orthogonal matching pursuits: Recursive function approximation with applications to wavelet decomposition," in Proc. 27th Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, 1993, pp. 40-44.
19. F. Bennett, T. Richardson, and A. Harter, "Teleporting-making applications mobile," in Proc. 1994 Workshop Mobile Computing Syst. Applicat., Santa Cruz, CA, Dec. 1994, pp. 82-84.
20. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," in Proc. IEEE Int. Conf. Comput. Vision and Pattern Recognition, Hawaii, vol.1, 2001, pp. 511-518.
21. E. Oja, Subspace Methods of Pattern Recognition. New York: Wiley, 1983.
22. D. Tao, X. Li, X. Wu, and S. J. Maybank, "General averaged divergence analysis," in Proc. IEEE Int. Conf. Data Mining, Omaha, NE, 2007, pp. 302-311.