Combining variable selection with dimensionality reduction

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn II, Issue , 2005, Pages 801-806

  Wolf, Lior ^a   Bileschi, Stan ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; DATA REDUCTION; FUNCTION EVALUATION; LEARNING ALGORITHMS; MATHEMATICAL MODELS; SET THEORY;

CORRELATED DATA; DIMENSIONAL REDUCTION; PEARSON COEFFICIENTS; REDUCTION ALGORITHMS;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 24644514482     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.103     Document Type: Conference Paper

References (20)

1. S. Agarwal and D. Roth. Learning a Sparse Representation for Object Detection. In ECCV, 2002.
2. P.N. Belhumeur, J.P. Hespanha and DJ. Rreigman. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. PAMI 19(1), 1992.
3. O. Bousquet, D.J.L. Herrmann. On the Complexity of Learning the Kernel Matrix. In NIPS, 2003.
4. S. Geman. A limit theorem for the norm of random matrices. Ann. Probab 8, 1980.
5. T. Hastie, R. Tibshirani and J. Friedman. The Elements of Statistical Learning Springer, 2001.
6. T. Jebara. Convex Invariance Learning. In AISTAT, 2003.
7. D.G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV 60, 2 (2004), pp. 91-110.
8. A.M. Martinez and R. Benavente. The AR face database. Tech. Rep. 24, CVC, 1998.
9. S. Mika, G. Ratsch, J. Weston, B. Schoelkopf and K.R. Muller. Fisher Discriminant Analysis with Kernels. Neural Networks for Signal Processing IX, 1999
10. A.Y. Ng. Feature selection, LI vs. L2 regularization. and rotational invariance. ICML, 2004.
11. M. Oren et-al. Pedestrian Detection Using Wavelet Templates. In CVPR 1997.
12. H. Schneiderman. Learning Statistical Structure for Object Detection. CAIP, 2003.
13. K.K. Sung and T. Poggio. Finding Human Faces with a Gaussian Mixture Distribution-based Face Model. ACCV 1995.
14. A. Ton-alba, K. P. Murphy, W. T. Freeman, and M. A. Rubin. Context-based vision system for place and object recognition. In ICCV, 2003.
15. M. Turk and Pentland. Face Recognition Using Eigenfaces. In ICPR, 1991.
16. S. Ullman, M. Vidal-Naquet and F. Sali. Visual features of intermediate complexity and their use in classification. Nature Neuroscience, 2002
17. P. Viola, and M. Jones. Rapid object detection using a boosted cascade of simple features. In CVPR, 2001.
18. L. Wolf and S. Bileschi. Combining Variable Selection with Dimensionality Reduction. M.I.T, AIM-2005-009/CBCL-247, 2005.
19. L. Wolf and A. Shashua. Direct feature selection with implicit inference. In ICCV. 2003
20. Yale University Face Database. Available at http://cvc.yale.edu/projects/yalefaces/yalefaces.html