Comparing studies of learning methods for human face gender recognition

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

Volumn 7701 LNCS, Issue , 2012, Pages 67-74

  Jiao, Yanbin ^a   Yang, Jucheng ^b   Fang, Zhijun ^a   Xie, Shanjuan ^c   Park, Dongsun ^c  

^a JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c Chonbuk National University   (South Korea)

Author keywords

BP; ELM; Face Gender recognition; SVM

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; BP; BP NEURAL NETWORKS; ELM; EXTREME LEARNING MACHINE; GENDER RECOGNITION; GENERALIZATION ABILITY; HUMAN FACES; LEARNING METHODS; LEARNING SPEED; PUBLIC DATABASE; RECOGNITION RATES; SVM; TRAINING PARAMETERS;

BIOMETRICS; LEARNING ALGORITHMS; NEURAL NETWORKS; SOCIAL SCIENCES; SUPPORT VECTOR MACHINES;

FACE RECOGNITION;

EID: 84871364064     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35136-5_9     Document Type: Conference Paper

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