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Volumn , Issue , 2009, Pages

Online learning in biometrics: A case study in face classifier update

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRIC SYSTEMS; CLASSIFIER DECISIONS; COMPUTATIONAL COSTS; COMPUTATIONAL OVERHEADS; COVARIATES; DATA DISTRIBUTION; FACE CLASSIFIERS; FACE DATABASE; FACE RECOGNITION SYSTEMS; LARGE-SCALE APPLICATIONS; MATCH SCORE; ON-LINE CLASSIFIER; ONLINE LEARNING;

EID: 71749100817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2009.5339071     Document Type: Conference Paper
Times cited : (6)

References (15)
  • 6
    • 51849117118 scopus 로고    scopus 로고
    • Labeled faces in the wild: A database for studying face recognition in unconstrained environments
    • University of Massachusetts, Amherst, Technical Report
    • G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments, 2007. University of Massachusetts, Amherst, Technical Report.
    • (2007)
    • Huang, G.B.1    Ramesh, M.2    Berg, T.3    Learned-Miller, E.4
  • 8
    • 0004171986 scopus 로고    scopus 로고
    • The AR face database
    • Computer Vision Center, Technical Report
    • A. R. Martinez and R. Benavente. The AR face database, 1998. Computer Vision Center, Technical Report.
    • (1998)
    • Martinez, A.R.1    Benavente, R.2
  • 12
    • 71749107922 scopus 로고    scopus 로고
    • Multiclass mν-granular soft support vector machine: A case study in dynamic classifier selection for multispectral face recognition
    • R. Singh, M. Vatsa, and A. Noore. Multiclass mν-granular soft support vector machine: a case study in dynamic classifier selection for multispectral face recognition. In Proceedings of International Conference on Pattern Recognition, pages 1-4, 2008.
    • (2008) Proceedings of International Conference on Pattern Recognition , pp. 1-4
    • Singh, R.1    Vatsa, M.2    Noore, A.3
  • 13
    • 28244467848 scopus 로고    scopus 로고
    • Posterior probability support vector machines for unbalanced data
    • Q. Tao, G. Wu, F. Wang, and J. Wang. Posterior probability support vector machines for unbalanced data. IEEE Transaction on Neural Network, 16(6):1561-1573, 2005.
    • (2005) IEEE Transaction on Neural Network , vol.16 , Issue.6 , pp. 1561-1573
    • Tao, Q.1    Wu, G.2    Wang, F.3    Wang, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.