메뉴 건너뛰기




Volumn 117, Issue 9, 2013, Pages 1175-1189

Structure preserving non-negative matrix factorization for dimensionality reduction q

Author keywords

Basis compactness; Dimensionality reduction; Multiplicative update algorithm; Non negative matrix factorization; Structure preserving

Indexed keywords

FACTORIZATION; ITERATIVE METHODS; MATRIX ALGEBRA; OPTIMIZATION; SEMANTICS; STRUCTURE (COMPOSITION); VIRTUAL REALITY;

EID: 84885381199     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2013.04.003     Document Type: Article
Times cited : (43)

References (44)
  • 6
    • 0001765951 scopus 로고    scopus 로고
    • A direct lda algorithms for high dimensional data-with application to face recognition
    • H. Yu, J. Yang, A direct lda algorithms for high dimensional data-with application to face recognition, Pattern Recognit. 34 (2001) 2067-2070.
    • (2001) Pattern Recognit. , vol.34 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 7
    • 3242767684 scopus 로고    scopus 로고
    • An optimization criterion for generalized discriminant analysis on undersampled problems
    • J. Ye, R. Janardan, C. Park, H. Park, An optimization criterion for generalized discriminant analysis on undersampled problems, IEEE Trans. Pattern Anal. Mach. Intell. 26 (8) (2004) 982-994.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.8 , pp. 982-994
    • Ye, J.1    Janardan, R.2    Park, C.3    Park, H.4
  • 10
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • DOI 10.1126/science.290.5500.2319
    • J. Tenenbaum, V. Silva, J. Langford, A global geometric framework for nonlinear dimensionality reduction, Science 290 (22) (2000) 2319-2323. (Pubitemid 32041577)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 11
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • DOI 10.1126/science.290.5500.2323
    • S.T. Roweis, L.K. Saul, Nonlinear dimensionality reduction by locally linear embedding, Science 290 (5500) (2000) 2323-2326. (Pubitemid 32041578)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 12
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • DOI 10.1162/089976603321780317
    • M. Belkin, P. Niyogi, Laplacian eigenmaps for dimensionality reduction and data representation, Neural Comput. 15 (6) (2003) 1373-1396. (Pubitemid 37049796)
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 15
    • 0742268833 scopus 로고    scopus 로고
    • Two-dimensional pca: A new approach to appearance-based face representation and recognition
    • J. Yang, D. Zhang, A. Frangi, J. Yang, Two-dimensional pca: a new approach to appearance-based face representation and recognition, IEEE Trans. Pattern Anal. Mach. Intell. 26 (1) (2004) 131-137.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.1 , pp. 131-137
    • Yang, J.1    Zhang, D.2    Frangi, A.3    Yang, J.4
  • 19
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D.D. Lee, H.S. Seung, Learning the parts of objects by non-negative matrix factorization, Nature 401 (6755) (1999) 788-791.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 20
    • 49449120034 scopus 로고
    • Hierarchical structures in perceptual representation
    • S.E. Palmers, Hierarchical structures in perceptual representation, Cognitive Psychol. 9 (1977) 441-474.
    • (1977) Cognitive Psychol. , vol.9 , pp. 441-474
    • Palmers, S.E.1
  • 22
    • 0027980942 scopus 로고
    • Recognition of objects and their component parts: Responses of single units in the temporal cortex of the macaque
    • E. Wachsmuth, M.W. Oram, D.I. Perrett, Recognition of objects and their component parts: responses of single units in the temporal cortex of the macaque, Cereb. Cortex 4 (1994) 509-522. (Pubitemid 24297014)
    • (1994) Cerebral Cortex , vol.4 , Issue.5 , pp. 509-522
    • Wachsmuth, E.1    Oram, M.W.2    Perrett, D.I.3
  • 25
  • 27
    • 25844488029 scopus 로고    scopus 로고
    • Document clustering using nonnegative matrix factorization
    • DOI 10.1016/j.ipm.2004.11.005, PII S0306457304001542
    • F. Shahnaz, M.W. Berry, V. Pauca, R.J. Plemmons, Document clustering using nonnegative matrix factorization, Inform. Process. Manage. 42 (2006) 373-386. (Pubitemid 41394167)
    • (2006) Information Processing and Management , vol.42 , Issue.2 , pp. 373-386
    • Shahnaz, F.1    Berry, M.W.2    Pauca, V.P.3    Plemmons, R.J.4
  • 28
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative matrix factorization with sparseness constraints
    • P.O. Hoyer, P. Dayan, Non-negative matrix factorization with sparseness constraints, J. Mach. Learn. Res. 5 (2004) 1457-1469.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 1457-1469
    • Hoyer, P.O.1    Dayan, P.2
  • 32
    • 84861310732 scopus 로고    scopus 로고
    • Constrained nonnegative matrix factorization for image representation
    • H. Liu, Z. Wu, X. Li, D. Cai, T.S. Huang, Constrained nonnegative matrix factorization for image representation, IEEE Trans. Pattern Anal. Mach. Intell. 34 (7) (2012) 1299-1311.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.7 , pp. 1299-1311
    • Liu, H.1    Wu, Z.2    Li, X.3    Cai, D.4    Huang, T.S.5
  • 34
    • 79959532395 scopus 로고    scopus 로고
    • Graph regularized non-negative matrix factorization for data representation
    • D. Cai, X. He, J. Han, T.S. Huang, Graph regularized non-negative matrix factorization for data representation, IEEE Trans. Pattern Anal. Mach. Intell. 33 (8) (2011) 1548-1560.
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.33 , Issue.8 , pp. 1548-1560
    • Cai, D.1    He, X.2    Han, J.3    Huang, T.S.4
  • 35
    • 0043278893 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • M. Belkin, P. Niyogi, Laplacian eigenmaps and spectral techniques for embedding and clustering, Adv. Neural Inform. Process. Syst. (2001) 585-591.
    • (2001) Adv. Neural Inform. Process. Syst. , pp. 585-591
    • Belkin, M.1    Niyogi, P.2
  • 40
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • T. Cover, P. Hart, Nearest neighbor pattern classification, IEEE Trans. Inform. Theory 13 (1) (1967) 21-27.
    • (1967) IEEE Trans. Inform. Theory , vol.13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 41
    • 0033220766 scopus 로고    scopus 로고
    • Nearest neighbor classifier: Simultaneous editing and feature selection
    • DOI 10.1016/S0167-8655(99)00082-3
    • L.I. Kuncheva, L.C. Jain, Nearest neighbor classifier: simultaneous editing and feature selection, Pattern Recognit. Lett. 20 (11-13) (1999) 1149-1156. (Pubitemid 32261892)
    • (1999) Pattern Recognition Letters , vol.20 , Issue.11-13 , pp. 1149-1156
    • Kuncheva, L.I.1    Jain, L.C.2
  • 42
  • 43
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear Component Analysis as a Kernel Eigenvalue Problem
    • B. Schölkopf, A. Smola, K.-R. Müller, Nonlinear component analysis as a kernel eigenvalue problem, Neural Comput. 10 (5) (1998) 1299-1319. (Pubitemid 128463674)
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.-R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.