2DPCA feature selection using mutual information

Proceedings of the 2008 International Conference on Computer and Electrical Engineering, ICCEE 2008

Volumn , Issue , 2008, Pages 578-581

  Sanguansat, Parinya ^a  

^a RANGSIT UNIVERSITY   (Thailand)

Author keywords

2DPCA; Face recognition; Feature selection; Mutual information

Indexed keywords

COVARIANCE MATRIX; ELECTRICAL ENGINEERING; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS;

2DPCA; CLASS LABELS; EIGENVECTORS; FACE IMAGES; FEATURE MATRIXES; FEATURE SELECTION; LARGEST EIGENVALUES; MUTUAL INFORMATION; NON-PARAMETRIC; NOVEL METHODS; QUADRATIC MUTUAL INFORMATIONS; RECOGNITION ACCURACIES; SELECTION CRITERION; TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS (2DPCA); YALE FACE DATABASE;

FACE RECOGNITION;

EID: 62949176253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCEE.2008.98     Document Type: Conference Paper

References (11)

1. A. Al-Ani, M. Deriche, and J. Chebil. A new mutual information based measure for feature selection. lntell. Data Anal., 7(1):43-57. Jan. 2003.
2. P. J. Basser and S. Pajevic. A normal distribution for tensor-valued random variables: Applications to diffusion tensor mri. IEEE Trans. Med. Img., 22(7):785-794, July 2003.
3. R. Battiti. Using mutual information for selecting features in supervised neural net learning. IEEE Trans. Neural Netw.,
4. B. V. Bonnlander and A. S. Weigend. Selecting input variables using mutual information and nonparametric density estimation. In Proc. of the 1994 Int. Symp. on Artificial Neural Networks (ISANN'94), pages 42-50, Tainan, Taiwan. 1994.
5. U. Ozertem, D. Erdogmus, and R. Jenssen. Spectral feature projections that maximize shannon mutual information with class labels. Pattern Recogn., 39(7):1241-1252. July 2006.
6. R. Setiono and H. Liu. Neural-network feature selector. IEEE Trans. Neural Netw., 8(3):654-662, May 1997.
7. L. Sirovich and M. Kirby. Low-dimensional procedure for characterization of human faces. J. Optical Soc. Am.. 4:519-524, 1987.
8. K. Torkkola. Feature extraction by non parametric mutual information maximization. J. Mach. Learn. Res., 3:1415-1438, Mar. 2003.
9. M. Turk and A. Pentland. Eigenfaces for recognition. J. of Cognitive Neuroscience. 3(1):71-86. 1991.
10. H. lang and J. Moody. Data visualization and feature selection: New algorithms for nongaussian data. 2000.
11. J. Yang, D. Zhang, A. F. Frangi, and J. yu Yang. Two-dimensional PCA: A new approach to appearance-based face representation and recognition. IEEE Trans. Pattern Anal. and Mach. lntell., 26:131-137, Jan. 2004.