Semi-supervised support vector learning for face recognition

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

Volumn 3972 LNCS, Issue , 2006, Pages 104-109

  Lu, Ke ^a   He, Xiaofei ^b   Zhao, Jidong ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b THE UNIVERSITY OF CHICAGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; LEARNING SYSTEMS; VECTOR QUANTIZATION;

SUPPORT VECTOR LEARNING; SUPPORT VECTOR MACHINE (SVM);

FACE RECOGNITION;

EID: 33745924665     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11760023_16     Document Type: Conference Paper

References (5)

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3. He, X. and Niyogi, P.: Locality Preserving Projections. Advances in Neural Information Processing Systems 16 (2003)
4. Vapnik, V.N.: The Nature of Statistical Learning Theory. Springer-Verlag (1995)
5. Chung, F.R.K.: Spectral Graph Theory. Volume 92 of Regional Conference Series in Mathematics (1997)