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Volumn 1, Issue , 2008, Pages 380-384

Adaptive neighborhood selection for manifold learning

Author keywords

Adaptive neighborhood selection; Local tangent space; Manifold Learning; Manifold ranking

Indexed keywords

COMPUTATIONAL METHODS; CONTROL THEORY; CYBERNETICS; EDUCATION; LEARNING SYSTEMS; ROBOT LEARNING;

EID: 57849153934     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4620435     Document Type: Conference Paper
Times cited : (16)

References (14)
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    • A Global Geometric Framework for Nonlinear Dimensionality Reduction
    • J B Tenenbaum, V de Silva, J C Langford. A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science, vol. 290, no. 22, pp. 2319-2323, 2000.
    • (2000) Science , vol.290 , Issue.22 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 2
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear Dimensionality Reduction by Locally Linear Embedding
    • S T Roweis, L K Saul. Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science, vol. 290, no. 22, pp. 2323-2327, 2000.
    • (2000) Science , vol.290 , Issue.22 , pp. 2323-2327
    • Roweis, S.T.1    Saul, L.K.2
  • 3
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
    • M Belkin, P Niyogi. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Computation, vol. 15, no. 6, pp. 1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 5
    • 14544307975 scopus 로고    scopus 로고
    • Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
    • Z Y Zhang, H Y Zha. Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment. SIAM Journal of Scientific Computing, vol. 26, no. 1, pp. 313-338, 2004.
    • (2004) SIAM Journal of Scientific Computing , vol.26 , Issue.1 , pp. 313-338
    • Zhang, Z.Y.1    Zha, H.Y.2
  • 6
    • 33646162415 scopus 로고    scopus 로고
    • Selection of the Optimal Paramater Value for the Isomap Algorithm
    • O Smako, A D Marshall, P L Rosin. Selection of the Optimal Paramater Value for the Isomap Algorithm. Pattern Recognition Letters, vol. 27, pp. 968-979, 2006.
    • (2006) Pattern Recognition Letters , vol.27 , pp. 968-979
    • Smako, O.1    Marshall, A.D.2    Rosin, P.L.3
  • 12


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.