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Volumn , Issue , 2011, Pages 33-40

GoDec: Randomized low-rank & sparse matrix decomposition in noisy case

Author keywords

[No Author keywords available]

Indexed keywords

COMPLETION TOOLS; COMPRESSED SENSING; EMPIRICAL STUDIES; LOCAL MINIMUMS; LOCAL OPTIMUM; LOW RANK APPROXIMATIONS; MATRIX; MATRIX COMPLETION; MATRIX DECOMPOSITION; RANDOM PROJECTIONS; ROBUST PCA; SPARSE APPROXIMATIONS; SPARSE MATRICES;

EID: 80053437358     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (752)

References (15)
  • 1
    • 41449091142 scopus 로고    scopus 로고
    • Iterated hard shrinkage for minimization problems with sparsity constraints
    • Bredies, K. and Lorenz, D. A. Iterated hard shrinkage for minimization problems with sparsity constraints. SIAM Journal on Scientific Computing, 30(2):657-683, 2008.
    • (2008) SIAM Journal on Scientific Computing , vol.30 , Issue.2 , pp. 657-683
    • Bredies, K.1    Lorenz, D.A.2
  • 2
    • 77951291046 scopus 로고    scopus 로고
    • A singular value thresholding algorithm for matrix completion
    • Cai, J., Candès, E. J., and Shen, Z. A singular value thresholding algorithm for matrix completion. SIAM Journal on Optimization, 20(4):1956-1982, 2010.
    • (2010) SIAM Journal on Optimization , vol.20 , Issue.4 , pp. 1956-1982
    • Cai, J.1    Candès, E.J.2    Shen, Z.3
  • 10
    • 80053445951 scopus 로고    scopus 로고
    • Optspace: A gradient descent algorithm on grassman manifold for matrix completion
    • Submitted to
    • Keshavan, R. and Oh, S. Optspace: A gradient descent algorithm on grassman manifold for matrix completion. Submitted to IEEE Trans on Signal Processing, 2009.
    • (2009) IEEE Trans on Signal Processing
    • Keshavan, R.1    Oh, S.2
  • 12
    • 84898929664 scopus 로고    scopus 로고
    • Em algorithms for pca and spca
    • Roweis, S. Em algorithms for pca and spca. In NIPS, pp. 626-632, 1998.
    • (1998) NIPS , pp. 626-632
    • Roweis, S.1
  • 14
    • 79960810210 scopus 로고    scopus 로고
    • Manifold elastic net: A unified framework for sparse dimension reduction
    • Zhou, T., Tao, D., and Wu, X. Manifold elastic net: a unified framework for sparse dimension reduction. Data Mining and Knowledge Discovery (Springer), 22(3):340-371, 2011.
    • (2011) Data Mining and Knowledge Discovery (Springer) , vol.22 , Issue.3 , pp. 340-371
    • Zhou, T.1    Tao, D.2    Wu, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.