메뉴 건너뛰기




Volumn 45, Issue 3, 2012, Pages 1119-1135

Semi-supervised classification based on random subspace dimensionality reduction

Author keywords

Dimensionality reduction; Ensembles of classifiers; Graph construction; Random subspaces; Semi supervised classification

Indexed keywords

DIMENSIONALITY REDUCTION; ENSEMBLES OF CLASSIFIERS; GRAPH CONSTRUCTION; RANDOM SUBSPACES; SEMI-SUPERVISED CLASSIFICATION;

EID: 80054993407     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.08.024     Document Type: Article
Times cited : (97)

References (42)
  • 2
    • 33745456231 scopus 로고    scopus 로고
    • Semi-Supervised Learning Literature
    • Department of Computer Sciences, University of Wisconsin-Madison
    • X. Zhu, Semi-Supervised Learning Literature, Technical Report 1530, Department of Computer Sciences, University of Wisconsin-Madison, 2008.
    • (2008) Technical Report 1530
    • Zhu, X.1
  • 6
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani Manifold regularization: a geometric framework for learning from labeled and unlabeled examples Journal of Machine Learning Research 7 2006 2399 2434 (Pubitemid 44708005)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 8
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • DOI 10.1126/science.290.5500.2323
    • S.T. Roweis, and 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
  • 9
    • 17044376078 scopus 로고    scopus 로고
    • Subspace clustering for high dimensional data: A review
    • L. Parsons, E. Haque, and H. Liu Subspace clustering for high dimensional data: a review ACM SIGKDD Explorations Newsletter 6 1 2004 90 105
    • (2004) ACM SIGKDD Explorations Newsletter , vol.6 , Issue.1 , pp. 90-105
    • Parsons, L.1    Haque, E.2    Liu, H.3
  • 10
  • 11
    • 33646258047 scopus 로고    scopus 로고
    • Random subspace method for multivariate feature selection
    • C. Lai, M.J.T. Reinders, and L. Wessels Random subspace method for multivariate feature selection Pattern Recognition Letters 27 10 2006 1067 1076
    • (2006) Pattern Recognition Letters , vol.27 , Issue.10 , pp. 1067-1076
    • Lai, C.1    Reinders, M.J.T.2    Wessels, L.3
  • 15
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • L.F. Chen, H.Y.M. Liao, M.T. Ko, and G.J. Yu A new LDA-based face recognition system which can solve the small sample size problem Pattern Recognition 33 10 2000 1712 1726
    • (2000) Pattern Recognition , vol.33 , Issue.10 , pp. 1712-1726
    • Chen, L.F.1    Liao, H.Y.M.2    Ko, M.T.3    Yu, G.J.4
  • 18
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Machine Learning 24 2 1996 123 140 (Pubitemid 126724382)
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 19
    • 34247608749 scopus 로고    scopus 로고
    • A linear discriminant analysis framework based on random subspace for face recognition
    • X.Y. Zhang, and Y.D. Jia A linear discriminant analysis framework based on random subspace for face recognition Pattern Recognition 40 9 2007 2585 2591
    • (2007) Pattern Recognition , vol.40 , Issue.9 , pp. 2585-2591
    • Zhang, X.Y.1    Jia, Y.D.2
  • 21
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high-dimensional data- with application to face recognition
    • H. Yu, and J. Yang A direct LDA algorithm for high-dimensional data- with application to face recognition Pattern Recognition 34 10 2001 2067 2070
    • (2001) Pattern Recognition , vol.34 , Issue.10 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 22
    • 67349169203 scopus 로고    scopus 로고
    • Semi-random subspace method for face recognition
    • Y.L. Zhu, J. Liu, and S.C. Chen Semi-random subspace method for face recognition Image and Vision Computing 27 9 2009 1358 1370
    • (2009) Image and Vision Computing , vol.27 , Issue.9 , pp. 1358-1370
    • Zhu, Y.L.1    Liu, J.2    Chen, S.C.3
  • 28
    • 3142725535 scopus 로고    scopus 로고
    • Semi-supervised learning on Riemannian manifolds
    • M. Belkin, and P. Niyogi Semi-supervised learning on Riemannian manifolds Machine Learning 56 1 2004 209 239
    • (2004) Machine Learning , vol.56 , Issue.1 , pp. 209-239
    • Belkin, M.1    Niyogi, P.2
  • 40
    • 77957019075 scopus 로고    scopus 로고
    • Graph based classification of multiple observation sets
    • E. Kokiopoulou, and P. Frossard Graph based classification of multiple observation sets Pattern Recognition 43 12 2010 3988 3997
    • (2010) Pattern Recognition , vol.43 , Issue.12 , pp. 3988-3997
    • Kokiopoulou, E.1    Frossard, P.2
  • 41
    • 78650231117 scopus 로고    scopus 로고
    • Enhanced locality preserving projections with robust path based similarity
    • G.X. Yu, H. Peng, J. Wei, and Q.L. Ma Enhanced locality preserving projections with robust path based similarity Neurocomputing 74 3 2011 598 605
    • (2011) Neurocomputing , vol.74 , Issue.3 , pp. 598-605
    • Yu, G.X.1    Peng, H.2    Wei, J.3    Ma, Q.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.