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Volumn I, Issue , 2005, Pages 1005-1010

A nonlinear approach for face sketch synthesis and recognition

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDED SYSTEMS; IMAGE ANALYSIS; IMAGE PROCESSING; NONLINEAR SYSTEMS;

EID: 33745181680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cvpr.2005.39     Document Type: Conference Paper
Times cited : (358)

References (16)
  • 2
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. T. Roweis and L. K. Saul, Nonlinear dimensionality reduction by locally linear embedding, Science, 290(5500), pp.2323-2326, 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 3
    • 19944404611 scopus 로고    scopus 로고
    • Locally linear embedding for classification
    • Imaging Science & Technology Department, Delft University of Technology, Netherlands
    • D. Ridder and R. Duin, Locally Linear Embedding For Classification, Tech-report, PH-2002-01, Imaging Science & Technology Department, Delft University of Technology, Netherlands.
    • Tech-report , vol.PH-2002-01
    • Ridder, D.1    Duin, R.2
  • 13
    • 0011977781 scopus 로고    scopus 로고
    • Example- Based super-resolution
    • Mitsubishi Electric Research Laboratories
    • W. T. Freeman, T. R. Jones, and E. C. Pasztor, Example- based Super-Resolution, Tech-Report TR-2001-030, Mitsubishi Electric Research Laboratories, 2001.
    • (2001) Tech-Report , vol.TR-2001-030
    • Freeman, W.T.1    Jones, T.R.2    Pasztor, E.C.3
  • 15
    • 84905388890 scopus 로고    scopus 로고
    • Kernel eigenfaces vs. kernel fisherfaces: Face recognition using kernel methods
    • M. H. Yang, Kernel Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods, Proc. of Int. Conf. Automatic Face and Gesture Recognition, pp. 215-220, 2002.
    • (2002) Proc. of Int. Conf. Automatic Face and Gesture Recognition , pp. 215-220
    • Yang, M.H.1
  • 16
    • 0034858173 scopus 로고    scopus 로고
    • Self- supervised learning for object based on kernel discriminant-EM algorithm
    • Y. Wu, T. S. Huang, and K. Toyama, Self- Supervised Learning for Object based on Kernel Discriminant-EM Algorithm, Proc. of Int. Conf. Computer Vision, 2001.
    • (2001) Proc. of Int. Conf. Computer Vision
    • Wu, Y.1    Huang, T.S.2    Toyama, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.