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Volumn 4, Issue , 2011, Pages 1762-1766

Enhanced supervised locality preserving projections for face recognition

Author keywords

Dimensionality reduction; LDA; Locality based; LPP; Robust Path Based Similarity

Indexed keywords

DIMENSIONALITY REDUCTION; LDA; LOCALITY-BASED; LPP; PATH-BASED;

EID: 80155186662     PISSN: 2160133X     EISSN: 21601348     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2011.6017017     Document Type: Conference Paper
Times cited : (11)

References (10)
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  • 2
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  • 3
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    • A global geometric framework for nonlinear dimensionality reduction
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    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 4
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
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    • Roweis, S.T.1    Saul, L.K.2
  • 5
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    • Locality preserving projections
    • S. Thrun, K. Saul, B. Scholkopf (Eds.) MIT Press, Cambridge, MA
    • X.F. He and P. Niyogi, Locality preserving projections, in: S. Thrun, K. Saul, B. Scholkopf (Eds.), Advances in Neural Information Processing Systems, vol. 16, MIT Press, Cambridge, MA, 2004, pp. 153-160.
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    • He, X.F.1    Niyogi, P.2
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  • 8
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    • Clustering with the connectivity kernel
    • S. Thrun, K. Saul, B. Scholkopf (Eds.) MIT Press, Cambridge, MA
    • B. Fischer, V. Roth, and J. M. Buhmann, Clustering with the connectivity kernel, in: S. Thrun, K. Saul, B. Scholkopf (Eds.), Advances in Neural Information Processing Systems, vol. 16, MIT Press, Cambridge, MA, 2004, pp. 89-96.
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    • Efficient and robust feature extraction by maximum margin criterion
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    • Li, H.F.1    Jiang, T.2    Zhang, K.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.