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Volumn 4, Issue , 2003, Pages 3512-3517

L2-norm approximation based learning in recurrent neural networks for expression invariant face recognition

Author keywords

Face recognition; L2 norm approximation; Learning algorithm; Neural network

Indexed keywords

APPROXIMATION THEORY; DATABASE SYSTEMS; DISTRIBUTED COMPUTER SYSTEMS; FACE RECOGNITION; PARALLEL PROCESSING SYSTEMS; PATTERN RECOGNITION SYSTEMS; RECURRENT NEURAL NETWORKS; STATISTICAL METHODS;

EID: 0242721637     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 1
    • 0001576029 scopus 로고    scopus 로고
    • Characterizing virtual eigensignatures for general purpose face recognition
    • H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman-Soulie and T. S. Huang (eds)
    • D. B. Graham and N. M. Allinson. "Characterizing Virtual Eigensignatures for General Purpose Face Recognition," Face Recognition: From Theory to Applications, NATO ASI Series F, Computer and Systems Sciences, Vol. 163, H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman-Soulie and T. S. Huang (eds), pp 446-456, 1998.
    • (1998) Face Recognition: From Theory to Applications, NATO ASI Series F, Computer and Systems Sciences , vol.163 , pp. 446-456
    • Graham, D.B.1    Allinson, N.M.2
  • 3
    • 0003891643 scopus 로고
    • New York: H. Holt and Co. BF121.J2 1890 V. 1-2. 1890
    • W. James, "The principles of psychology," New York: H. Holt and Co. BF121.J2 1890 V. 1-2. 1890. 1890.
    • (1890) The Principles of Psychology
    • James, W.1
  • 4
    • 4243929997 scopus 로고    scopus 로고
    • Robust face authentication for multiple subjects using eigenflow
    • Carnegie Mellon Technical Report: AMP01-05
    • X. Liu, T. Chen and B. V. K. V. Kumar, "Robust face authentication for multiple subjects using eigenflow," Carnegie Mellon Technical Report: AMP01-05.
    • Liu, X.1    Chen, T.2    Kumar, B.V.K.V.3
  • 14
    • 0242496598 scopus 로고    scopus 로고
    • http://cvc.yale.edu/projects/yalefaces/yalefaces.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.