메뉴 건너뛰기




Volumn , Issue , 2013, Pages 225-232

Latent space sparse subspace clustering

Author keywords

dimension reduction; sparse optimization; Subspace clustering

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ELECTRICAL ENGINEERING;

EID: 84898800856     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.35     Document Type: Conference Paper
Times cited : (214)

References (31)
  • 1
    • 55649115527 scopus 로고    scopus 로고
    • A simple proof of the restricted isometry property for random matrices
    • R. Baraniuk, M. Davenport, R. DeVore, and M. Wakin. A simple proof of the restricted isometry property for random matrices. Constructive Approximation, 28(3):253-263, 2008.
    • (2008) Constructive Approximation , vol.28 , Issue.3 , pp. 253-263
    • Baraniuk, R.1    Davenport, M.2    Devore, R.3    Wakin, M.4
  • 4
    • 0032154138 scopus 로고    scopus 로고
    • A multibody factorization method for independently moving objects
    • J. P. Costeira and T. Kanade. A multibody factorization method for independently moving objects. International Journal of Computer Vision, 29(3):159-179, 1998.
    • (1998) International Journal of Computer Vision , vol.29 , Issue.3 , pp. 159-179
    • Costeira, J.P.1    Kanade, T.2
  • 8
    • 0019574599 scopus 로고
    • RANSAC random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • M. A. Fischler and R. C. Bolles. RANSAC random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 26:381-395, 1981.
    • (1981) Communications of the ACM , vol.26 , pp. 381-395
    • Fischler, M.A.1    Bolles, R.C.2
  • 10
    • 0040906782 scopus 로고    scopus 로고
    • Metrics and models for handwritten character recognition
    • T. Hastie and P. Y. Simard. Metrics and models for handwritten character recognition. Statistical Science, 13(1):54-65.
    • Statistical Science , vol.13 , Issue.1 , pp. 54-65
    • Hastie, T.1    Simard, P.Y.2
  • 14
    • 0032203257 scopus 로고    scopus 로고
    • Gradientbased learning applied to document recognition
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
    • (1998) Proceedings of the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 16
    • 84863042818 scopus 로고    scopus 로고
    • Latent low-rank representation for subspace segmentation and feature extraction
    • G. Liu and S. Yan. Latent low-rank representation for subspace segmentation and feature extraction. In IEEE International Conference on Computer Vision, pages 1615-1622, 2011.
    • (2011) IEEE International Conference on Computer Vision , pp. 1615-1622
    • Liu, G.1    Yan, S.2
  • 20
    • 84898811177 scopus 로고    scopus 로고
    • Learning transformations for clustering and classification
    • Q. Qiu and G. Sapiro. Learning transformations for clustering and classification. Preprint, 2013.
    • (2013) Preprint
    • Qiu, Q.1    Sapiro, G.2
  • 21
    • 78349258863 scopus 로고    scopus 로고
    • Double sparsity: Learning sparse dictionaries for sparse signal approximation
    • R. Rubinstein, M. Zibulevsky, and M. Elad. Double sparsity: Learning sparse dictionaries for sparse signal approximation. IEEE Transactions on Signal Processing, 58(3):1553-1564, 2010.
    • (2010) IEEE Transactions on Signal Processing , vol.58 , Issue.3 , pp. 1553-1564
    • Rubinstein, R.1    Zibulevsky, M.2    Elad, M.3
  • 22
    • 0009148594 scopus 로고
    • A trace minimization algorithm for the generalized eigenvalue problem
    • A. H. Sameh and J. A. Wisniewski. A trace minimization algorithm for the generalized eigenvalue problem. SIAM J. Numer. Anal., 19(6):1243-1259, 1982.
    • (1982) SIAM J. Numer. Anal. , vol.19 , Issue.6 , pp. 1243-1259
    • Sameh, A.H.1    Wisniewski, J.A.2
  • 23
    • 84884476031 scopus 로고    scopus 로고
    • A geometric analysis of subspace clustering with outliers
    • M. Soltanolkotabi and E. J. Candes. A geometric analysis of subspace clustering with outliers. Annals of Statistics, 40(4):2195-2238, 2011.
    • (2011) Annals of Statistics , vol.40 , Issue.4 , pp. 2195-2238
    • Soltanolkotabi, M.1    Candes, E.J.2
  • 29
    • 34948837349 scopus 로고    scopus 로고
    • A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate
    • J. Yan and M. Pollefeys. A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate. In European Conf. on Computer Vision, page 94106, 2006.
    • (2006) European Conf. on Computer Vision , pp. 94106
    • Yan, J.1    Pollefeys, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.