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Volumn 3768 LNCS, Issue , 2005, Pages 854-864

Face recognition using neighborhood preserving projections

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS;

EID: 33646697571     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11582267_74     Document Type: Conference Paper
Times cited : (17)

References (24)
  • 4
    • 0000209334 scopus 로고    scopus 로고
    • Local feature analysis: A general statistical theory for object repentation
    • Penev, P.S.: Local Feature Analysis: a General Statistical Theory for Object Repentation. Network: Computation in Neural Systems, Vol. 7, (1996) 477-500
    • (1996) Network: Computation in Neural Systems , vol.7 , pp. 477-500
    • Penev, P.S.1
  • 11
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis,S., Saul,L.: Nonlinear dimensionality reduction by locally linear embedding. Science, Vol. 290, No. 5500, (2000) 2323-2326
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 12
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • Saul,L.K., Roweis,S.T.: Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds. Journal of Machine Learning Research, Vol. 4, (2003) 119-155
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 119-155
    • Saul, L.K.1    Roweis, S.T.2
  • 19
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvale problem
    • Scholkopf, B., Smola, A., Muller, K.: Nonlinear component analysis as a kernel eigenvale problem. Neural Computation, Vol. 10, No. 5, (1998) 1299-1319.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.3
  • 21
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high dimensional data with application to face recognition
    • Yu, H., Yang, J.: A direct LDA algorithm for high dimensional data with application to face recognition. Pattern Recognition. Vol. 34. (2001) 2067-2070.
    • (2001) Pattern Recognition , vol.34 , pp. 2067-2070
    • Yu, H.1    Yang, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.