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Volumn , Issue , 2010, Pages 1598-1602

Optimal incorporation of sparsity information by weighted ℓ1 optimization

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSED SENSING; INCORPORATING PRIOR KNOWLEDGE; OPTIMAL SELECTION;

EID: 77955669970     PISSN: 21578103     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2010.5513420     Document Type: Conference Paper
Times cited : (20)

References (16)
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    • F. Parvaresh, H. Vikalo, S. Misra, and B. Hassibi, "Recovering sparse signals using sparse measurement matrices in compressed dna microarrays," IEEE J. Sel. Topics Signal Process., vol. 2, no. 3, pp. 275-285, 2008.
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    • Enhancing sparsity by reweighted l1 minimization
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    • Candes, E.J.1    Wakin, M.2    Boyd, S.3
  • 11
    • 77955672486 scopus 로고    scopus 로고
    • Learning with compressible priors
    • Y. Bengio et al. (eds.)
    • V. Cevher, "Learning with compressible priors," in Y. Bengio et al. (eds.), Advances in Neural Information Processing Systems 22, 2009, pp. 261-269.
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  • 12
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    • Sparse estimation using general likelihoods and non-factorial priors
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.