Kernel discriminative common vectors for face recognition

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 4605-4610

  Yun Hui, H E ^a   Zhao, L I ^a   Zou, Cai Rong ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Discriminative common vectors; Face recognition; Fisher linear discriminant analysis; Kernel method; Small sample size

Indexed keywords

ASYMPTOTIC STABILITY; DATABASE SYSTEMS; PROBLEM SOLVING; REAL TIME SYSTEMS; VECTORS;

DISCRIMINATIVE COMMON VECTORS; FISHER LINEAR DISCRIMINANT ANALYSIS; KERNEL METHODS; SMALL SAMPLE SIZE;

FACE RECOGNITION;

EID: 28444448747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, pp. 711-720, July 1997.
2. H. Yu and J. Yang, "A Direct LDA Algorithm for High-Dimensional Data with Application to Face Recognition", Pattern Recognition, Vol. 34, pp. 2067-2070, 2001.
3. L.-F. Chen, H.-Y.M. Liao, M.-T. Ko, J.-C. Lin, and G.-J. Yu, "A New LDA-Based Face Recognition System Which Can Solve the Small Sample Size Problem", Pattern Recognition, Vol. 33, pp. 1713-1726, 2000.
4. R. Huang, Q. Liu, H. Lu, and S. Ma, "Solving the Small Size Problem of LDA", Proc. 16th Int'l Conf. Pattern Recognition, Vol. 3, pp. 29-32, Aug. 2002.
5. H. Cevikalp, M. Neamtu, M. Wilkes, and A. Barkana, "Discriminative common vectors for face recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No 1. pp. 4-13, January 2005.
6. G. Baudat and F. Anouar, "Generalized discriminant analysis using a kernel approach", Neural Computation, Vol. 12, pp. 2385-2404, 2000.
7. K-R Müller, S. Mika, G. Rätsch, K. Tsuda, and B. Schölkopf, "An introduction to kernel-based learning algorithms", IEEE Transactions on Neural Networks, Vol. 12, No. 2, pp. 181-201, March 2001.
8. J. Shawe-Taylor and N. Cristianini, Kernel Methods for Pattern Analysis, Cambridge Univ. Press, England, 2004.