Kernel machine-based rank-lifting regularized discriminant analysis method for face recognition

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 2953-2960

  Chen, Wen Sheng ^a   Yuen, Pong Chi ^b   Xie, Xuehui ^a  

^a SHENZHEN UNIVERSITY   (China)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

Author keywords

Face recognition; Kernel method; Nonlinear problem; Rank lifting scheme; Singularity problem

Indexed keywords

CORRESPONDING WEIGHTS; FACE DATABASE; KERNEL METHODS; LINEAR DISCRIMINANT ANALYSIS; LINEAR-ALGEBRAIC; NONLINEAR PROBLEM; NONLINEAR PROBLEMS; PROJECTION DIRECTION; RANK-LIFTING SCHEME; REGULARIZATION TECHNIQUE; REGULARIZED DISCRIMINANT ANALYSIS; SINGULARITY PROBLEMS; WITHIN-CLASS SCATTER MATRIX;

DISCRIMINANT ANALYSIS;

FACE RECOGNITION;

ACCURACY; ARTICLE; DATA BASE; DISCRIMINANT ANALYSIS; FACE PROFILE; FACE RECOGNITION; FERET DATABASE; HUMAN; INFORMATION TECHNOLOGY; KERNEL MACHINE BASED RANK LIFTING REGULARIZED DISCRIMINANT ANALYSIS; KERNEL METHOD; PRIORITY JOURNAL; RECOGNITION; THEORETICAL MODEL;

EID: 80052922774     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.04.019     Document Type: Article

References (22)

1. Belhumeur P.N., Hespanha J.P., Kriegman D.J. Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence 1997, 19(7):711-720.
2. Cortes C., Vapnik V. Support-vector networks. Machine Learning 1995, 20(3):273-297.
3. Mika S., Rätsch G., Weston J., Schölkopf B., Müller K.-R. Fisher discriminant analysis with kernels. Neural Networks for Signal Processing IX 1999, 41-48. IEEE. Y.-H. Hu, J. Larsen, E. Wilson, S. Douglas (Eds.).
4. Mika S., Rätsch G., Weston J., Schölkopf B., Smola A.J., Müller K.-R. Invariant feature extraction and classification in kernel spaces. Advances in Neural Information Processing Systems 2000, vol. 12:526-532. MIT Press.
5. Baudat G., Anouar F. Generalized discriminant analysis using a kernel approach. Neural Computation 2000, 12(10):2385-2404.
6. Lu J., Plataniotis K.N., Ventsanopoulos A.N. Face recognition using kernel direct discriminant analysis algorithms. IEEE Transactions on Neural Network 2003, 14(1):117-126.
7. Chen W.S., Yuen P.C., Huang J., Dai D.Q. Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition. IEEE Transactions on Systems, Man and Cybernetics, Par B 2005, 35(4):659-669.
8. Goudelis G., Zafeiriou S., Tefas A., Pitas I. Class-specific kernel-discriminant analysis for face verification. IEEE Transactions on Information Forensics and Security 2007, 2(3):570-587.
9. Yang J., Frangi A.F., Yang J.Y., Zhang D., Jin Z. KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition. IEEE Transaction on Pattern Analysis and Machine Intelligence 2005, 27(2):230-244.
10. Zheng W., Zhao L., Zou C. A modified algorithm for generalized discriminant analysis. Neural Computation 2004, 16(6):1283-1297.
11. Huang J., Yuen P.C., Chen W.S., Lai J.H. Choosing parameters of kernel subspace-LDA for recognition of face images under pose and illumination variations. IEEE Transactions on System, Man and Cybernetics 2007, 37(4):847-862.
12. Pan J.S., Li J.B., Lu Z.M. Adaptive quasiconformal kernel discriminant analysis. Neurocomputing 2008, 71:2754-2760.
13. Liu X.Z., Yuen P.C., Feng G.C., Chen W.S. Learning kernel in kernel-based LDA for face recognition under illumination variations. IEEE Signal Processing Letters 2009, 16(12):1019-1022.
14. S. Saitoh, Theory of Reproducing Kernels and its Applications, vol. 22(1), Longman Scientific Technical, Harlow, England, 1990, pp. 139-142.
15. Muller K.R., Mika S., Ratsch G., Tsuda K., Scholkopf B. An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks 2001, 12(2):181-201.
16. Shawe-Taylor J., Cristianini N. Kernel Methods for Pattern Analysis 2004, Cambridge University Press.
17. Phillips P.J., Moon H., Rizvi S.A., Rauss P.J. The FERET evaluation methodology for face-recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 2000, 22(10):1090-1104.
18. Sim T., Baker S., Bsat M. The CMU pose, illumination, and expression database. IEEE Transactions on Pattern Analysis and Machine Intelligence 2003, 25(12):1615-1618.
19. Chen L.F., Liao H., Ko M., Lin J., Yu G. A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognition 2000, 33(10):1713-1726.
20. Chen W.S., Yuen P.C., Huang J. A new regularized linear discriminant analysis methods to solve small sample size problems. International Journal of Pattern Recognition and Artificial Intelligence 2005, 19(7):917-936.
21. Chen W.S., Yuen P.C., Huang J., Fang B. Two-step single parameter regularization Fisher discriminant method for face recognition. International Journal of Pattern Recognition and Artificial Intelligence 2006, 20(2):189-208.
22. Li M., Zhao W. Representation of a stochastic traffic bound. IEEE Transactions on Parallel and Distributed Systems 2010, 21(9):1368-1372.