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Volumn 3, Issue , 2006, Pages 544-547

Occlusion robust face recognition with dynamic similarity features

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; IMAGE MATCHING; PSYCHOLOGY COMPUTING; QUERY PROCESSING;

EID: 34147158295     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.890     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 3
    • 0031185845 scopus 로고    scopus 로고
    • Fisherfaces: Recognition Using Class Specific Linear Projection
    • P. N. Belhumeur, J. P. Hespanha, D. J. Kriegman, Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Trans. PAMI, 1997, 19(7): 711-720.
    • (1997) IEEE Trans. PAMI , vol.19 , Issue.7 , pp. 711-720
    • Belhumeur, P.N.1    Hespanha, J.P.2    Kriegman, D.J.3    vs, E.4
  • 4
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel Eigenvalue problem
    • B. Scholkopf, A. Smola, K. R. Muller, Nonlinear component analysis as a kernel Eigenvalue problem, Neural Computation, 1998, 10(5): 1299-1319.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.R.3
  • 11
    • 0003425662 scopus 로고    scopus 로고
    • Support Vector Machines: Training and Applications,
    • Tech Report, AI Lab, MIT, 1997
    • E. Osuna, R. Freund, and F. Girosi, Support Vector Machines: Training and Applications, Tech Report, AI Lab, MIT, 1997.
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 13
    • 34147159265 scopus 로고    scopus 로고
    • Nuno Vasconcelos, Purdy Ho, and Pedro Moreno, The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition, Proc. European Conf. Computer Vision, 2004.
    • Nuno Vasconcelos, Purdy Ho, and Pedro Moreno, The Kullback-Leibler Kernel as a Framework for Discriminant and Localized Representations for Visual Recognition, Proc. European Conf. Computer Vision, 2004.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.