Application of principal component analysis to a radial-basis function committee machine for face recognition

International Journal of Innovative Computing, Information and Control

Volumn 5, Issue 11, 2009, Pages 4145-4154

  Chang, Chuan Yu ^a   Hsu, Hung Rung ^a  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

AdaBoost; Face recognition; Principal component analysis; Radial basis function neural networks

Indexed keywords

ADABOOST; COMMITTEE MACHINES; CONNECTION WEIGHTS; FACIAL EXPRESSIONS; FILM PROCESSING; HIDDEN NEURONS; IDENTIFICATION SYSTEMS; ILLUMINATION VARIATION; OUTPUT NEURONS; POSE VARIATION; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RECOGNITION RATES; SPEED-UPS; TRAINING PROCESS; TRAINING TIME;

ADAPTIVE BOOSTING; CLASSIFIERS; LEARNING SYSTEMS; NEURAL NETWORKS; NEURONS; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS;

FACE RECOGNITION;

EID: 71149093447     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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