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Volumn , Issue , 2011, Pages 1443-1448

Discriminative high order SVD: Adaptive tensor subspace selection for image classification, clustering, and retrieval

Author keywords

[No Author keywords available]

Indexed keywords

DIMENSIONALITY REDUCTION; EMPIRICAL STUDIES; HIGH-ORDER; K-MEANS CLUSTERING; LOW RANK APPROXIMATIONS; PUBLIC COMPUTERS; SUBSPACE SELECTION; TENSOR DECOMPOSITION; UNSUPERVISED METHOD; VISION DATA;

EID: 84863069279     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126400     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 2
    • 14344257496 scopus 로고    scopus 로고
    • K-means clustering via principal component analysis
    • C. Ding and X. He. K-means clustering via principal component analysis. Proc. of Int'l Conf. Machine Learning, pages 225-232, 2004.
    • (2004) Proc. of Int'l Conf. Machine Learning , pp. 225-232
    • Ding, C.1    He, X.2
  • 3
    • 78149305852 scopus 로고    scopus 로고
    • Adaptive dimension reduction for clustering high dimensional data
    • C. Ding, X. He, H. Zha, and H. Simon. Adaptive dimension reduction for clustering high dimensional data. ICDM, pages 147-154, 2002.
    • (2002) ICDM , pp. 147-154
    • Ding, C.1    He, X.2    Zha, H.3    Simon, H.4
  • 4
    • 34547965335 scopus 로고    scopus 로고
    • Adaptive dimension reduction using discriminant analysis and k-means clustering
    • C. Ding and T. Li. Adaptive dimension reduction using discriminant analysis and k-means clustering. Proc. Int'l Conf. on Machine Learning (ICML), pages 521-528, 2007.
    • (2007) Proc. Int'l Conf. on Machine Learning (ICML , pp. 521-528
    • Ding, C.1    Li, T.2
  • 5
    • 84880116864 scopus 로고    scopus 로고
    • Two-dimensional singular value decomposition (2dsvd) for 2d maps and images
    • C. Ding and J. Ye. Two-dimensional singular value decomposition (2dsvd) for 2d maps and images. SIAM Int'l Conf. Data Mining, pages 32-43, 2005.
    • (2005) SIAM Int'l Conf. Data Mining , pp. 32-43
    • Ding, C.1    Ye, J.2
  • 6
    • 0001576029 scopus 로고    scopus 로고
    • Face recognition: From theory to applications. NATO ASI Series F
    • D. B. Graham and N. M. Allinson. Face recognition: From theory to applications. NATO ASI Series F, Computer and Systems Sciences, 163:446-456, 1998.
    • (1998) Computer and Systems Sciences , vol.163 , pp. 446-456
    • Graham, D.B.1    Allinson, N.M.2
  • 7
    • 65149091304 scopus 로고    scopus 로고
    • Simultaneous tensor subspace selection and clustering: The equivalence of high order svd and k-means clustering
    • H. Huang, C. Ding, D. Luo, and T. Li. Simultaneous tensor subspace selection and clustering: The equivalence of high order svd and k-means clustering. KDD, pages 327-335, 2008.
    • (2008) KDD , pp. 327-335
    • Huang, H.1    Ding, C.2    Luo, D.3    Li, T.4
  • 8
    • 0025236073 scopus 로고
    • Application of the kl procedure for the characterization of human faces
    • Kirby and Sirovich. Application of the kl procedure for the characterization of human faces. IEEE Trans. Pattern Anal. Machine Intell., 12:103-108, 1990.
    • (1990) IEEE Trans. Pattern Anal. Machine Intell , vol.12 , pp. 103-108
    • Kirby1    Sirovich2
  • 9
    • 0034144761 scopus 로고    scopus 로고
    • On the best rank-1 and rank-(r1 r2 ⋯ rn) approximation of higherorder tensors
    • L. D. Lathauwer, B. D.Moor, and J. Vandewalle. On the best rank-1 and rank-(r1, r2, ⋯ , rn) approximation of higherorder tensors. SIAM J. Matrix Anal. Appl., 21:1324-1342, 2000.
    • (2000) SIAM J. Matrix Anal. Appl , vol.21 , pp. 1324-1342
    • Lathauwer, L.D.1    Moor, B.D.2    Vandewalle, J.3
  • 11
  • 13
    • 0013953617 scopus 로고
    • Some mathematical notes on three-mode factor analysis
    • L. Tucker. Some mathematical notes on three-mode factor analysis. Psychometrika, 31(3):279-311, 1966.
    • (1966) Psychometrika , vol.31 , Issue.3 , pp. 279-311
    • Tucker, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.