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Volumn 4633 LNCS, Issue , 2007, Pages 806-817

Face recognition by curvelet based feature extraction

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; IMAGE ANALYSIS; MULTIRESOLUTION ANALYSIS; SUPPORT VECTOR MACHINES;

EID: 38049072213     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74260-9_72     Document Type: Conference Paper
Times cited : (69)

References (21)
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    • Do, M.N.1    Vetterli, M.2
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    • The finite ridgelet transform for image representation
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    • Do, M.N.1    Vetterli, M.2
  • 6
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    • Digital curvelet transform: Strategy, implementation and experiments
    • Tech. Rep, Department of Statistics, Stanford University
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    • (1999)
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    • accepted for publication
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    • Journal of Pattern Recognition Research
    • Majumdar, A.1
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    • Majumdar, A.: Curvelets: A New Approach to Face Recognition. Journal of Machine Learning Research (submitted)
    • Majumdar, A.: Curvelets: A New Approach to Face Recognition. Journal of Machine Learning Research (submitted)
  • 12
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    • The cortex transform: Rapid computation of simulated neural images
    • Watson, A.B.: The cortex transform: rapid computation of simulated neural images. Computer Vision, Graphics, and Image Processing 39(3), 311-327 (1987)
    • (1987) Computer Vision, Graphics, and Image Processing , vol.39 , Issue.3 , pp. 311-327
    • Watson, A.B.1
  • 13
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    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen, A., Field, D.J.: Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381, 607-609 (1996)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.