Comparison of kernel class-dependence feature analysis (KCFA) with kernel discriminant analysis (KDA) for face recognition

IEEE Conference on Biometrics: Theory, Applications and Systems, BTAS'07

Volumn , Issue , 2007, Pages

  Xie, Chunyan ^a   Vijaya Kumar, B V K ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; CORRELATION METHODS; DIGITAL COMMUNICATION SYSTEMS; DISCRIMINANT ANALYSIS; EIGENVALUES AND EIGENFUNCTIONS; LEARNING SYSTEMS; TELECOMMUNICATION; WAVE FILTERS;

CLASSIFICATION PERFORMANCE; DIGITAL COMMUNICATIONS; FEATURE ANALYSIS; INTERNATIONAL CONFERENCES; KERNEL CORRELATION FILTERS; KERNEL DISCRIMINANT ANALYSIS (KDL); KERNEL METHODS; LINEAR CORRELATIONS; LINEAR FEATURES; NON-LINEAR CLASSIFIERS; SIGNAL REPRESENTATIONS; TO MANY;

FACE RECOGNITION;

EID: 48649089687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2007.4401947     Document Type: Conference Paper

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