Semi-supervised face recognition with LDA self-training

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2011, Pages 3041-3044

  Zhao, Xuran ^a   Evans, Nicholas ^a   Dugelay, Jean Luc ^a  

^a EURECOM   (France)

Author keywords

face recognition; LDA; self training; semi supervised learning

Indexed keywords

AUXILIARY DATA; CONSTANT IMPROVEMENT; FACE IMAGES; FACE RECOGNITION ALGORITHMS; FACE RECOGNITION EXPERIMENT; LDA; LDA-BASED ALGORITHMS; LINEAR DISCRIMINANT ANALYSIS; NUMBER OF SAMPLES; POOR PERFORMANCE; RECOGNITION PERFORMANCE; SELF-TRAINING; SEMI-SUPERVISED; SEMI-SUPERVISED FACE RECOGNITION; SEMI-SUPERVISED LEARNING; TRAINING SETS;

DISCRIMINANT ANALYSIS; LEARNING ALGORITHMS; SUPERVISED LEARNING;

FACE RECOGNITION;

EID: 84863046027     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2011.6116305     Document Type: Conference Paper

References (14)

1. N. Kumar, P. N. Belhumeur, and S. K. Nayar. "Face-Tracer: A Search Engine for Large Collections of Images with Faces" in Proc. ECCV 2008, pp. 340-353, October 2008.
2. X. Zhu, "Semi-supervised learning literature survey", Technical report, Univ. Wisconsin, Madison, USA, Jan. 2006.
3. F. Roli, G.L. Marcialis, "Semi-supervised PCA-based face recognition using self training," in Proc. Joint IAPR Int. Work. on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR06, Springer LNCS 4109: 560-568, 2006.
4. F. Roli. "Semi-supervised multiple classifier systems: Background and research directions," In Proc. of the 6th International Workshop on Multiple Classifier Systems, pp. 1-11, 2005.
5. P. N. Belhumeur, J. P. Hepanha, and D. J. Kriegman. "Eigenfaces vs. fisherfaces: recognition using class specific linear projection," IEEE Transactions on PAMI, 19(7):711-720, 1997.
6. A.M. Martinez and A.C. Kak, "PCA versus LDA", in IEEE Transaction on PAMI, vol. 23(2), PP. 228-233, Feb. 2001.
7. D. Cai, X. He, and J. Han. "Semi-supervised discriminant analysis," In Proc. ICCV, 2007
8. M. Turk and A. Pentland. "Eigenfaces for recognition", Journal of Cognitive Neuroscience, 3(1):71-86, 1991.
9. http://www.cam-orl.co.uk
10. A.M. Martinez and R. Benavente, "The AR Face Data-base," CVC Technical Report, no. 24, June 1998.
11. T. Sim, S. Baker, and M.Bsat. "The CMU pose, illumination, and expression database", IEEE Transactions on PAMI, vol. 25(12), pp. 1615-1618, 2003
12. X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang. "Face recognition using laplacianfaces", IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(3):328-340, 2005. (Pubitemid 40377326)
13. D. Zhou, O. Bousquet, T. Lal, J. Weston, and B. Schölkopf. "Learning with local and global consistency", In Advances in Neural Information Processing Systems 16, 2003.
14. M. Belkin, P. Niyogi, and V. Sindhwani. "Manifold regularization: A geometric framework for learning from examples", Journal of Machine Learning Research, 2006.