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Volumn 254 CCIS, Issue PART 4, 2011, Pages 339-353

A discriminative non-linear manifold learning technique for face recognition

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS TECHNIQUES; CLASS LABELS; FACE DATABASE; GRAPH LAPLACIAN; LAPLACIAN EIGENMAPS; MANIFOLD LEARNING; NON-LINEAR MANIFOLD LEARNING; NONLINEAR DIMENSIONALITY REDUCTION; NONLINEAR TECHNIQUES; TWO-COMPONENT;

EID: 82955164051     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-25483-3_28     Document Type: Conference Paper
Times cited : (4)

References (21)
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  • 3
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    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • Saul, L.K., Roweis, S.T., Singer, Y.: Think globally, fit locally: Unsupervised learning of low dimensional manifolds. Journal of Machine Learning Research 4, 119-155 (2003)
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    • Saul, L.K.1    Roweis, S.T.2    Singer, Y.3
  • 4
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J.B., de Silva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290(5500), 2319-2323 (2000)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 6
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    • Laplacian eigenmaps for dimensionality reduction and data representation
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    • Belkin, M.1    Niyogi, P.2
  • 7
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    • Incremental Laplacian Eigenmaps by preserving adjacent information between data points
    • Jia, P., Yin, J., Huang, X., Hu, D.: Incremental Laplacian Eigenmaps by preserving adjacent information between data points. Pattern Recognition Letters 30(16), 1457-1463 (2009)
    • (2009) Pattern Recognition Letters , vol.30 , Issue.16 , pp. 1457-1463
    • Jia, P.1    Yin, J.2    Huang, X.3    Hu, D.4
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    • Graph-optimized locality preserving projections
    • Zhang, L., Qiao, L., Chen, S.: Graph-optimized locality preserving projections. Pattern Recognition 43, 1993-2002 (2010)
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    • Marginface: A novel face recognition method by average neighborhood margin maximization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.