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Volumn , Issue , 2014, Pages 23-26

Face recognition system with automatic training samples selection using self-organizing map

Author keywords

biometric recognition; biometry; clustering algorithm; face recognition; PCA; self organizing map; SVM; training process

Indexed keywords

CLUSTERING ALGORITHMS; CONFORMAL MAPPING; GENETIC ALGORITHMS; SAMPLING; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES;

EID: 84908240744     PISSN: 13342630     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ELMAR.2014.6923306     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 3
    • 84875599097 scopus 로고    scopus 로고
    • ITU-T Technology Watch Report, December
    • M. Adolph, "Biometrics and standards" ITU-T Technology Watch Report, December 2009. http://www.itu.int/oth/T230100000D/en.
    • (2009) Biometrics and Standards
    • Adolph, M.1
  • 4
    • 0020068152 scopus 로고
    • Self-organizing formation of topologically correct feature maps
    • T. Kohonen, "Self-organizing formation of topologically correct feature maps," Biological Cybernetics, vol. 43, no. 1, pp.59-69, 1982.
    • (1982) Biological Cybernetics , vol.43 , Issue.1 , pp. 59-69
    • Kohonen, T.1
  • 6
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik, "Support-Vector Networks," Machine Learning 20, pp 1-25, 1995.
    • (1995) Machine Learning , vol.20 , pp. 1-25
    • Cortes, C.1    Vapnik, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.