Feature selection using principal component analysis

Proceedings - 2010 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2010

Volumn 1, Issue , 2010, Pages 27-30

  Song, Fengxi ^a   Guo, Zhongwei ^a   Mei, Dayong ^a  

^a Hefei New Star Institute of Applied Technology   (China)

Author keywords

Face recognition; Feature selection; Principal component analysis

Indexed keywords

COMPUTATIONALLY EFFICIENT; DIFFERENT EFFECTS; EIGENVECTORS; FEATURE SELECTION; ORIGINAL SAMPLE; PRINCIPAL COMPONENTS; PRINCIPAL COMPONENTS ANALYSIS; RECOGNITION ACCURACY; TRANSFORM METHODS;

COVARIANCE MATRIX; EIGENVALUES AND EIGENFUNCTIONS; FACE RECOGNITION; FEATURE EXTRACTION; MANUFACTURE; NUMERICAL ANALYSIS; NUMERICAL METHODS; SYSTEMS SCIENCE;

PRINCIPAL COMPONENT ANALYSIS;

EID: 78650554581     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSEM.2010.14     Document Type: Conference Paper

References (21)

1. H.W. Liu, J. G. Sun, L. Liu, H. J. Zhang. Feature selection with dynamic mutual information. Pattern Recognition, 42 (7):1330-1339, July 2009.
2. P. Mitra, C. A. Murthy, S. K. Pal. Unsupervised Feature Selection Using Feature Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 301-312, 2002.
3. Y. Li, B. L Lu. Feature selection based on loss-margin of nearest neighbor classification. Pattern Recognition 42(9): 1914-1921, 2009.
4. M. H. Aghdam, N. G. Aghaee, M. E. Basiri, Text feature selection using ant colony optimization, Expert Syst. Appl. 36(3): 6843-6853, 2009.
5. H. Yoshida, R. Leardi, K. Funatsu and K. Varmuza, Feature selection by genetic algorithms for mass spectral classifiers, Anal. Chim. Acta 446 (2001):485-494. (Pubitemid 33042690)
6. H. Zeng, Y. M. Cheung. A new feature selection method for Gaussian mixture clustering. Pattern Recognition 42(2): 243-250, 2009.
7. Y. Sun, C. F. Babbs, E.J. Delp. A comparison of feature selection methods for the detection of breast cancers in mammograms: adaptive sequential floating search vs. genetic algorithm, Proceedings of the 27th Annual Conference of the IEEE Engineering in Medicine and Biology, Shanghai, 2005.
8. H. K. Ekenel, B. Sankur. Feature selection in the independent component subspace for face recognition. Pattern Recognition Letters 25(12): 1377-1388, 2004.
9. M. H. Nguyen, F. d. Torre. Optimal feature selection for support vector machines, Pattern Recognition, 43(3): March 2010.
10. Y. Xu, D. Zhang, J..Y. Yang. A feature extraction method for use with bimodal biometrics. Pattern Recognition, 43:1106-1115, 2010.
11. P. N. Belhumeur, J. P. Hespanha, D. J. Kriegman, Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Trans. Pattern Anal. Machine Intell. 19 (7): 711-720, 1997.
12. M. Kirby, L. Sirovich. Application of the KL Procedure for the Characterization of Human Faces. IEEE Trans. Pattern Anal. Machine Intell., 12 (1):103-108 ,1990.
13. Y. Xu, D. Zhang, J. Yang, J. Y. Yang, An approach for directly extracting features from matrix data and its application in face recognition, Neurocomputing, 71 (10-12):1857-1865, 2008.
14. L. Zhang, R. Lukac, X. L. Wu, D. Zhang. PCA-Based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras. IEEE Transactions on Image Processing 18(4): 797-812, 2009.
15. Y. Xu, D. Zhang , F. X. Song, J. Y. Yang, Z. Jing , M. Li, A method for speeding up feature extraction based on KPCA, Neurocomputing, 70(4-6): 1056-1061, 2007. (Pubitemid 46043996)
16. Y. Xu, C. Lin, W. Zhao, Producing computationally efficient KPCA-based feature extraction for classification problems, Electronics Letters (SCI), 46(6), 452-453, 2010..
17. Y. Xu, D. Zhang, Represent and fuse bimodal biometric images at the feature level: complex-matrix-based fusion scheme, Optical Engineering, 49(3), 2010, doi:10.1117/1.3359514.
18. http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html.
19. J. Yang, D. Zhang, X. Yong, J. Y. Yang, Two-dimensional Discriminant Transform for Face Recognition, Pattern Recognition, 38(7): 1125-1129, 2005. (Pubitemid 40537034)
20. P. J. Phillips, H. Moon, S.A. Rizvi, P. J. Rauss. The FERET evaluation methodology for face-recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22(10):1090-1104, 2000. (Pubitemid 33776327)
21. Y. Xu, Z. Jin, Down-sampling face images and low-resolution face recognition. The third international conference on innovative computing, information and control, Dalian, China, 18-20: 392-395. June 2008.