On combining dissimilarity-based classifiers to solve the small sample size problem for appearance-based face recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4509 LNAI, Issue , 2007, Pages 110-121

  Kim, Sang Woon ^a,b   Duin, Robert P W ^c  

^a Myongji University ^*

^b Myong Ji University   (South Korea)

^c NONE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FACE RECOGNITION; FEATURE EXTRACTION; PROBLEM SOLVING;

HIGH-DIMENSIONAL CLASSIFICATION; LINEAR DISCRIMINANT ANALYSIS;

CLASSIFICATION (OF INFORMATION);

EID: 37249043325     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72665-4_10     Document Type: Conference Paper

References (19)

1. W. Zhao, R. Chellappa, A. Rosenfeld, and P. J. Phillips, "Face recognition: a literature survey", ACM Compt. Surveys, vol. 35, no. 4, pp. 399 - 458, 2003.
2. J. Ruiz-del-Solar and P. Navarrete, "Eigenspace-based face recognition: a comparative study of different approaches", IEEE Trans. Systems, Man, and Cybernetics - Part C, vol. 35, no. 3, pp. 315 - 325, Aug. 2005.
3. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection", IEEE Trans. Pattern Anal. and Machine Intell., vol. 19, no. 7, pp. 711 - 720, July 1997.
4. L. -F. Chen, H. -Y. M. Liao, M. -T. Ko, J. -C. Lin, and G. -J. Yu, "A new LDA-based face reognition system which can solve the small sample size problem", Pattern Recognition, vol. 33, pp. 1713 - 1726, 2000.
5. P. Howland, J. Wang, and H. Park, "Solving the small sample size problem in face reognition using generalized discriminant analysis", Pattern Recognition, vol. 39, pp. 277 - 287, 2006.
6. S. Raudys and R. P. W. Duin, "On expected classification error of the Fisher linear classifier with pseudoinverse covariance matrix", Pattern Recognition Letters, vol. 19, pp. 385 - 392, 1998.
7. D. Q. Dai and P. C. Yuen, "Regularized discriminant analysis and its application to face recognition", Pattern Recognition, vol. 36, pp. 845 - 847, 2003.
8. 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.
9. J. Ye and Q. Li, "A two-stage linear discriminant analysis via QR-decomposition", IEEE Trans. Pattern Anal. and Machine Intell., vol. 27, no. 6, pp. 929 - 941, Jun. 2005.
10. H. Cevikalp, M. Neamtu, M. Wilkes, and A. Barkana, "Discriminative common vectors for face recognition", IEEE Trans. Pattern Anal. and Machine Intell., vol. 27, no. 1, pp. 4 - 13, Jan. 2005.
11. E. Pekalska and R. P. W. Duin, "Dissimilarity representations allow for buiilding good classifiers", Pattern Recognition Letters, vol. 23, pp. 943 - 956, 2002.
12. E. Pekalska, Dissimilarity representations in pattern recognition. Concepts, theory and applications, Ph.D. thesis, Delft University of Technology, The Netherlands, 2005.
13. E. Pekalska, R. P. W. Duin, and P. Paclik, "Prototype selection for dissimilarity-based classifiers", Pattern Recognition, vol. 39, pp. 189 - 208, 2006.
14. L. I. Kuncheva, "A theoretical study on six classifier fusion strategies", IEEE Trans. Pattern Anal. and Machine Intell., vol. 24, no. 2, pp. 281 - 286, Feb. 2002.
15. J. Kittler, M. Hatef, R. P. W. Duin and J. Matas, "On combining classifiers", IEEE Trans. Pattern Anal. and Machine Intell., vol. 20, no. 3, pp. 226 - 239, Mar. 1998.
16. L. I. Kuncheva, J. C. Bezdek and R. P. W. Duin "Decision templates for multiple classifier fusion: an experimental comparison", Pattern Recognition, vol. 34, pp. 299 - 414, Feb. 2001.
17. S. -W. Kim and B. J. Oommen, "On optimizing dissimilarity-based classification using prototype reduction schemes", The 2006 International Conference on Image Analysis and Recognition (ICIAR2006), LNCS 4141, pp. 15-28, 2006.
18. S. -W. Kim, "On solving the small sample size problem using a dissimilarity representation for face recognition", Proceedings of Advanced Concepts for Intelligent Vision Systems (ACIVS2006), LNCS 4179, pp. 1174-1185, 2006.
19. Y. Adini, Y. Moses, and S. Ullman, "Face recognition: The problem of compensating for changes in illumination direction", IEEE Trans. Pattern Anal. and Machine Intell., vol. 19, no. 7, pp. 721 - 732, Jul. 1997.