Likelihood ratio in a SVM framework: Fusing linear and non-linear face classifiers

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops

Volumn , Issue , 2008, Pages

  Vatsa, Mayank ^a   Singh, Richa ^a   Ross, Arun ^a   Noore, Afzel ^a  

^a West Virginia University

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE-BASED; COVARIATE; FACE CLASSIFIERS; FACE DATABASES; FACE RECOGNITION ALGORITHMS; FACE RECOGNITION SYSTEM; FUSION ALGORITHMS; FUSION TECHNIQUES; LIKELIHOOD RATIO; LIKELIHOOD RATIO TEST; NON-LINEAR; SCORE-LEVEL FUSION; SUPPORT-VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER VISION; FEATURE EXTRACTION; FUSION REACTIONS; IMAGE PROCESSING; MAXIMUM LIKELIHOOD ESTIMATION; NUCLEAR PHYSICS; NUMERICAL ANALYSIS; PATTERN RECOGNITION; STATISTICAL METHODS; STATISTICAL TESTS; SUPPORT VECTOR MACHINES; TESTING;

FACE RECOGNITION;

EID: 52049111589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2008.4563103     Document Type: Conference Paper

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