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Volumn 2, Issue , 2002, Pages

Face recognition using feature extraction based on independent component analysis

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHMS;

EID: 0036447947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (28)

References (10)
  • 3
    • 0034206636 scopus 로고    scopus 로고
    • Evolutionary pursuit and its application to face recognition
    • June
    • C. Liu and H. Wechsler, "Evolutionary pursuit and its application to face recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, no. 6, pp. 570-582, June 2000.
    • (2000) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.22 , Issue.6 , pp. 570-582
    • Liu, C.1    Wechsler, H.2
  • 5
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • June
    • A.J. Bell and T.J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Computation, vol. 7, no. 6, pp. 1129-1159, June 1995.
    • (1995) Neural Computation , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 6
    • 84898956124 scopus 로고    scopus 로고
    • Viewpoint invariant face recognition using independent component analysis and attractor networks
    • M.S. Bartlett and T.J. Sejnowski, "Viewpoint invariant face recognition using independent component analysis and attractor networks," Neural Information Processing Systems-Natural and Synthetic, vol. 9, pp. 817-823, 1997.
    • (1997) Neural Information Processing Systems-Natural and Synthetic , vol.9 , pp. 817-823
    • Bartlett, M.S.1    Sejnowski, T.J.2
  • 9
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources
    • Feb.
    • T.-W. Lee, M. Girolami, and T.J. Sejnowski, "Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources," Neural Computation, vol. 11, no. 2, pp. 417 - 441, Feb. 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 417-441
    • Lee, T.-W.1    Girolami, M.2    Sejnowski, T.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.