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Volumn 2, Issue , 2004, Pages

Local smoothing for manifold learning

Author keywords

[No Author keywords available]

Indexed keywords

GENERATING FUNCTIONS; MANIFOLD LEARNING; NONLINEAR MANIFOLD; PIXELS;

EID: 5044232102     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (49)

References (15)
  • 1
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • December
    • J. B. Tenenbaum, V. Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. SCIENCE, 290(5500):2319-2323, December 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    Silva, V.2    Langford, J.C.3
  • 2
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimension reduction by locally linear embedding
    • S. Roweis and L. Saul. Nonlinear dimension reduction by locally linear embedding. Science, 290: 2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 3
    • 85140868879 scopus 로고    scopus 로고
    • Principal manifolds and nonlinear dimension reduction via local tangent space alignment
    • To appear in
    • Z. Zhang and H. Zha. Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment. To appear in SIAM J. Scientific Computing.
    • SIAM J. Scientific Computing.
    • Zhang, Z.1    Zha, H.2
  • 5
    • 0000466122 scopus 로고    scopus 로고
    • Survey on independent component analysis
    • A. Hyvärinen. Survey on independent component analysis. Neural Computing Surveys, 2:94-128, 1999.
    • (1999) Neural Computing Surveys , vol.2 , pp. 94-128
    • Hyvärinen, A.1
  • 6
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Algorithms for non-negative matrix factorization. Adv. Neural Info. Proc. Syst. 13, pages 556-562, 2001.
    • (2001) Adv. Neural Info. Proc. Syst. , vol.13 , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2
  • 9
    • 0018546040 scopus 로고
    • Lower rank approximation of matrices by least squares with any choice of weights
    • K. Gabriel and S. Zamir. Lower rank approximation of matrices by least squares with any choice of weights. Technometrics, 21(21):489-498, 1979.
    • (1979) Technometrics , vol.21 , Issue.21 , pp. 489-498
    • Gabriel, K.1    Zamir, S.2
  • 10
    • 84950968334 scopus 로고
    • Least median of squares regression
    • P.J. Rousseeuw. Least median of squares regression. J. of Amer. Stat. Assoc., 79:871-880, 1984.
    • (1984) J. of Amer. Stat. Assoc. , vol.79 , pp. 871-880
    • Rousseeuw, P.J.1
  • 11
    • 0029184173 scopus 로고
    • Robust principal component analysis by self-organizing rules based on statistical physics approach
    • L. Xu and A. Yuille. Robust principal component analysis by self-organizing rules based on statistical physics approach. IEEE Trans. Nueral Networks, 6(1):131-143, 1995.
    • (1995) IEEE Trans. Nueral Networks , vol.6 , Issue.1 , pp. 131-143
    • Xu, L.1    Yuille, A.2
  • 15
    • 0040629831 scopus 로고    scopus 로고
    • Nonlinear projective filtering in a data stream
    • T. Schreiber and M. Richter. Nonlinear projective filtering in a data stream. Int. J. Bifurcat. Chaos, 9:2039 1999.
    • (1999) Int. J. Bifurcat. Chaos , vol.9 , pp. 2039
    • Schreiber, T.1    Richter, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.