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Volumn 3644, Issue PART I, 2005, Pages 117-125

Neighborhood Preserving Projections (NPP): A novel linear dimension reduction method

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; EMBEDDED SYSTEMS; INFORMATION RETRIEVAL; LINEAR SYSTEMS; MATHEMATICAL TRANSFORMATIONS; OPTIMIZATION; DIMENSIONALITY REDUCTION; INTELLIGENT COMPUTING; PATTERN RECOGNITION;

EID: 27144523231     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11538059_13     Document Type: Conference Paper
Times cited : (90)

References (17)
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    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin,M., Niyogi,P.: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Computation, Vol. 15, No. 6, (2003)1373-1396
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 5
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Scholkopf,B., Smola,A., Muller,K.R.: Nonlinear Component Analysis as a Kernel Eigenvalue 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.R.3
  • 6
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • Baudat,G., Anouar,F.: Generalized Discriminant Analysis Using a Kernel Approach. Neural Computation, Vol. 12, (2000) 2385-2404
    • (2000) Neural Computation , vol.12 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 7
    • 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
  • 8
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Joshua,B., Tenenbaum, Langford, J.: A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science, Vol. 290, No. 5500, (2000) 2319-2323
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Joshua, B.1    Tenenbaum2    Langford, J.3
  • 9
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin,M., Niyogi,P.: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. Neural Computation, Vol. 5, No. 6, (2003)1373-1396
    • (2003) Neural Computation , vol.5 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 13
    • 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
  • 14
    • 24644513146 scopus 로고    scopus 로고
    • Locality preserving projection
    • Department of Computer Science, the University of Chicago
    • He,X., Niyogi,P.: Locality Preserving Projection. Technical Report TR-2002-09, Department of Computer Science, the University of Chicago
    • Technical Report , vol.TR-2002-09
    • He, X.1    Niyogi, P.2
  • 15
    • 0344548085 scopus 로고    scopus 로고
    • Linear and nonlinear data dimensionality reduction
    • the Massachusettes Institute of Technology
    • Gering,D.: Linear and Nonlinear Data Dimensionality Reduction. Technical Report, the Massachusettes Institute of Technology (2002)
    • (2002) Technical Report
    • Gering, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.