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Volumn 5558 LNCS, Issue , 2009, Pages 82-91

Manifold learning for gender classification from face sequences

Author keywords

[No Author keywords available]

Indexed keywords

FACE IMAGES; FACE SEQUENCES; FACIAL IMAGES; GENDER CLASSIFICATION; GENDER RECOGNITION; INPUT DATAS; ISOLATED PATTERNS; LOCALLY LINEAR EMBEDDING ALGORITHMS; LOW-DIMENSIONAL STRUCTURES; MANIFOLD DISTANCE; MANIFOLD LEARNING; VIDEO SEQUENCES; VISUAL SURVEILLANCE;

EID: 69949144364     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01793-3_9     Document Type: Conference Paper
Times cited : (8)

References (16)
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  • 3
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    • A nonlinear mapping for data structure analysis
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  • 7
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    • Nonlinear dimensionality reduction by locally linear embedding
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    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 8
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    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J.B., DeSilva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290(5500), 2319-2323 (2000)
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    • 84880203756 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
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    • Belkin, M.1    Niyogi, P.2
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    • Noise compensation in a person verification system using face and multiple speech feature
    • Sanderson, C., Paliwal, K.K.: Noise compensation in a person verification system using face and multiple speech feature. Pattern Recognition 36(2), 293-302 (2003)
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    • Dynamic texture recognition using local binary patterns with an application to facial expressions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.