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Volumn 1, Issue , 2006, Pages 133-136

Orthogonal neighborhood preserving embedding for face recognition

Author keywords

Eigenface; Face recognition; Manifold learning; Neighborhood preserving embedding

Indexed keywords

EMBEDDINGS; NEAREST NEIGHBOR SEARCH;

EID: 48149097906     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4378909     Document Type: Conference Paper
Times cited : (43)

References (11)
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    • Roweis, S.T.1    Saul, L.K.2
  • 4
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    • A Global Geometric Framework for Nonlinear Dimensionality Reduction
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    • (2000) Science , vol.290 , Issue.12 , pp. 2319-2323
    • Tenenbaum, J.B.1    Silva, V.2    Langford, J.C.3
  • 5
    • 33749385913 scopus 로고    scopus 로고
    • Incremental Manifold Learning Via Tangent Space Alignment
    • Proceeding of Artificial Neural Networks in Pattern Recognition
    • X.M. Liu, J.W. Yin, Z.L. Feng, and J.X. Dong, "Incremental Manifold Learning Via Tangent Space Alignment", in Proceeding of Artificial Neural Networks in Pattern Recognition. LNAI, 2006. pp.107-121.
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    • L.K. Saul, and S.T. Roweis, "Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds". Journal of Machine Learning Research, 2004. 4(2): pp. 119-155.
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  • 10
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    • Orthogonal Laplacianfaces for Face Recognition
    • D. Cai, X. He, and J. Han, "Orthogonal Laplacianfaces for Face Recognition". IEEE transactions on image processing, 2006. 15(11): pp. 3609-3614.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.