Element rearrangement for tensor-based subspace learning

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Yan, Shuicheng ^a   Xu, Dong ^b   Lin, Stephen ^c   Huang, Thomas S ^a   Chang, Shih Fu ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b Columbia University ^*  (United States)

^c MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; CORRELATION METHODS; DATA COMPRESSION; MATRIX ALGEBRA; OPTIMIZATION; TENSORS;

DIMENSIONALITY REDUCTION ALGORITHMS; INFORMATION REDUNDANCY;

LEARNING SYSTEMS;

EID: 34948858491     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.382984     Document Type: Conference Paper

References (18)

1. P. Belhumeur, J. Hespanha and D. Kriegman, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Trans. PAMI, vol. 19, no. 7, pp. 711-720, 1997.
2. H. Chen, H. Chang and T. Liu, Local discriminant embedding and its variants, Proc. IEEE CVPR, vol. 2, pp. 846-852, 2005.
3. G. Dai and D. Yeung, Tensor Embedding Methods, Proceedings of National Conference on Artificial Intelligence, pp.330-335, 2006.
4. A. Dempster, N. Laird and D. Rubin, Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc., vol. 39, pp. 1-38.
5. P. Jensen and J. Bard, Operations Research Models and Methods, John Wiley and Sons, 2003.
6. L. Lathauwer, B. Moor and J. Vandewalle, A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol. 21, pp. 1253-1278, 2000.
7. G. Nemhauser and L. Wolsey, Integer and Combinatorial Optimization, Wiley, New York, 1988.
8. P. Phillips, H. Moon, S. Rizvi and P. Rauss, The FERET Evaluation Methodology for Face-Recognition Algorithms, IEEE Trans. PAMI, vol. 22, no. 10, pp. 1090-1104, 2000.
9. Y. Rubner, C. Tomasi, and L. Guibas, A Metric for Distributions with Applications to Image Databases, Proc. IEEE ICCV, pp. 59-66, 1998.
10. T. Sim, S. Baker and M. Bsat. The CMUPose, Illumination, and Expression Database, IEEE Trans. PAMI, vol. 25, no. 12, pp. 1615-1618, 2003.
11. E. Simoncelli and B. Olshausen, Natural Image Statistics and Neural Representation, Ann. Rev. Neuroscience, vol. 24, pp. 1193-1216, 2001.
12. M. Turk and A. Pentland. Face Recognition Using Eigenfaces, Proc. IEEE CVPR, pp. 586-591, 1991.
13. M.A.O. Vasilescu and D. Terzopoulos, Multilinear Subspace Analysis for Image Ensembles, Proc. IEEE CVPR, pp. 93-99, 2003.
14. D. Xu, S.Yan, L. Zhang, H. Zhang, Z. Liu and H. Shum, Concurrent Subspace Analysis, Proc. IEEE CVPR, pp. 203-208, 2005.
15. S. Yan, D. Xu, Q. Yang, L. Zhang, X. Tang and H. Zhang, Discriminant Analysis with Tensor Representation, Proc. IEEE CVPR, pp. 526-532, 2005.
16. J. Yang, D. Zhang, A. Frangi and J. Yang, Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition, IEEE Trans. PAMI, vol. 26, no. 1, pp. 131-137, 2004.
17. J. Ye, Generalized Low Rank Approximations of Matrices, Machine Learning, vol. 61, pp. 167-191, 2005.
18. J. Ye, R. Janardan and Q. Li, Two-Dimensional Linear Discriminant Analysis, Advances in Neural Information Processing Systems, pp. 1569-1576, 2004.