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Volumn , Issue , 2010, Pages 2567-2573

Face recognition based on image sets

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX HULL; CONVEX MODELS; DATA SETS; FACE IMAGES; FEATURE MAPPING; FEATURE POINT; FEATURE SPACE; GEOMETRIC DISTANCES; IMAGE SETS; KERNEL TRICK; NONLINEAR MANIFOLDS; NOVEL METHODS; ROBUST METHODS; SIMILARITY METRICS; SINGLE IMAGES; TRAINING EXAMPLE;

EID: 77955995930     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539965     Document Type: Conference Paper
Times cited : (499)

References (27)
  • 1
    • 33947167478 scopus 로고    scopus 로고
    • Face description with local binary patterns: Application to face recognition
    • T. Ahonen, A. Hadid, , and M. Pietikainen. Face description with local binary patterns: Application to face recognition. IEEE Transactions on on PAMI, 28(12):2037-2041, 2006.
    • (2006) IEEE Transactions on on PAMI , vol.28 , Issue.12 , pp. 2037-2041
    • Ahonen, T.1    Hadid, A.2    Pietikainen, M.3
  • 4
    • 0008202233 scopus 로고    scopus 로고
    • Duality and geometry in svm classifiers
    • K. P. Bennett and E. J. Bredensteiner. Duality and geometry in svm classifiers. In ICML, 2000.
    • (2000) ICML
    • Bennett, K.P.1    Bredensteiner, E.J.2
  • 6
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20:273-297, 1995.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 7
    • 0036161034 scopus 로고    scopus 로고
    • Training invariant support vector machines
    • D. DeCoste and B. Schölkopf. Training invariant support vector machines. Machine Learning, 46:161-190, 2002.
    • (2002) Machine Learning , vol.46 , pp. 161-190
    • DeCoste, D.1    Schölkopf, B.2
  • 12
  • 16
  • 18
    • 15044364586 scopus 로고    scopus 로고
    • Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image
    • T. Kim and J. Kittler. Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image. IEEE Transactions on PAMI, 27:318-327, 2005.
    • (2005) IEEE Transactions on PAMI , vol.27 , pp. 318-327
    • Kim, T.1    Kittler, J.2
  • 21
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290:2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Roweis, S.1    Saul, L.2
  • 23
    • 0005031076 scopus 로고    scopus 로고
    • Transformation invariance in pattern recognition - Tangent distance and tangent propagation
    • P. Simard, Y. L. Cun, J. Denker, and B. Victorri. Transformation invariance in pattern recognition - tangent distance and tangent propagation. Lecture Notes in Computer Science, 1524:239-274, 1998.
    • (1998) Lecture Notes in Computer Science , vol.1524 , pp. 239-274
    • Simard, P.1    Cun, Y.L.2    Denker, J.3    Victorri, B.4
  • 24
    • 11144330519 scopus 로고    scopus 로고
    • K-local hyperplane and convex distance nearest neighbor algorithms
    • P. Vincent and Y. Bengio. K-local hyperplane and convex distance nearest neighbor algorithms. In NIPS, 2001.
    • (2001) NIPS
    • Vincent, P.1    Bengio, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.