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Volumn , Issue , 2011, Pages 1148-1152

Greedy sparsity-constrained optimization

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION PROBLEM; GREEDY ALGORITHMS; LOG LIKELIHOOD; SPARSE SOLUTIONS; SQUARED ERRORS;

EID: 84861312883     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2011.6190194     Document Type: Conference Paper
Times cited : (15)

References (13)
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    • Candès, E.J.1    Romberg, J.K.2    Tao, T.3
  • 3
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    • E. J. Candès, "The restricted isometry property and its implications for compressed sensing," Comptes Rendus Mathematique, vol. 346, no. 9-10, pp. 589-592, 2008.
    • (2008) Comptes Rendus Mathematique , vol.346 , Issue.9-10 , pp. 589-592
    • Candès, E.J.1
  • 5
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    • CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
    • D. Needell and J. A. Tropp, "CoSaMP: iterative signal recovery from incomplete and inaccurate samples," Applied and Computational Harmonic Analysis, vol. 26, no. 3, pp. 301-321, 2009.
    • (2009) Applied and Computational Harmonic Analysis , vol.26 , Issue.3 , pp. 301-321
    • Needell, D.1    Tropp, J.A.2
  • 6
    • 65749110333 scopus 로고    scopus 로고
    • Subspace pursuit for compressive sensing signal reconstruction
    • W. Dai and O. Milenkovic, "Subspace pursuit for compressive sensing signal reconstruction," IEEE Transactions on Information Theory, vol. 55, no. 5, pp. 2230-2249, 2009.
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    • Dai, W.1    Milenkovic, O.2
  • 8
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    • Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, eds.
    • S. Negahban, P. Ravikumar, M. Wainwright, and B. Yu, "A unified framework for high-dimensional analysis of m-estimators with decomposable regularizers," in Advances in Neural Information Processing Systems 22 (Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, eds.), pp. 1348-1356, 2009.
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 1348-1356
    • Negahban, S.1    Ravikumar, P.2    Wainwright, M.3    Yu, B.4
  • 9
    • 51049121146 scopus 로고    scopus 로고
    • High-dimensional generalized linear models and the lasso
    • S. Van De Geer, "High-dimensional generalized linear models and the lasso," The Annals of Statistics, vol. 36, no. 2, pp. 614-645, 2008.
    • (2008) The Annals of Statistics , vol.36 , Issue.2 , pp. 614-645
    • Van De Geer, S.1
  • 10
    • 84861312320 scopus 로고    scopus 로고
    • Learning exponential families in high-dimensions: Strong convexity and sparsity
    • Proceedings of the 13th International Conference on Artificial Intelligence and Statistics
    • S. M. Kakade, O. Shamir, K. Sridharan, and A. Tewari, "Learning exponential families in high-dimensions: Strong convexity and sparsity,"in Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, vol. 9 of JMLR Workshop and Conference Proceedings, pp. 381-388, 2010.
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  • 11
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    • Trading accuracy for sparsity in optimization problems with sparsity constraints
    • S. Shalev-Shwartz, N. Srebro, and T. Zhang, "Trading accuracy for sparsity in optimization problems with sparsity constraints," SIAM Journal on Optimization, vol. 20, no. 6, pp. 2807-2832, 2010.
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    • april
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.