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Volumn , Issue , 2009, Pages 261-269

Learning with compressible priors

Author keywords

[No Author keywords available]

Indexed keywords

DECAY (ORGANIC); PARETO PRINCIPLE; SIGNAL RECONSTRUCTION;

EID: 77955672486     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (65)

References (24)
  • 2
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • M.E. Tipping. Sparse bayesian learning and the relevance vector machine. The Journal of Machine Learning Research, 1:211-244, 2001.
    • (2001) The Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 3
    • 3543103176 scopus 로고    scopus 로고
    • Sparse Bayesian learning for basis selection
    • D. P. Wipf and B. D. Rao. Sparse Bayesian learning for basis selection. IEEE Transactions on Signal Processing, 52(8):2153-2164, 2004.
    • (2004) IEEE Transactions on Signal Processing , vol.52 , Issue.8 , pp. 2153-2164
    • Wipf, D.P.1    Rao, B.D.2
  • 4
    • 69349085934 scopus 로고    scopus 로고
    • Sampling theorems for signals from the union of linear subspaces
    • T. Blumensath and M.E. Davies. Sampling theorems for signals from the union of linear subspaces. IEEE Trans. Info. Theory, 2009.
    • (2009) IEEE Trans. Info. Theory
    • Blumensath, T.1    Davies, M.E.2
  • 5
    • 57349181932 scopus 로고    scopus 로고
    • Compressed sensing and best k-term approximation
    • A. Cohen, W. Dahmen, and R. DeVore. Compressed sensing and best k-term approximation. American Mathematical Society, 22(1):211-231, 2009.
    • (2009) American Mathematical Society , vol.22 , Issue.1 , pp. 211-231
    • Cohen, A.1    Dahmen, W.2    DeVore, R.3
  • 6
    • 0028805010 scopus 로고
    • Neuromagnetic source imaging with FO-CUSS: A recursive weighted minimum norm algorithm
    • I. F. Gorodnitsky, J. S. George, and B. D. Rao. Neuromagnetic source imaging with FO-CUSS: a recursive weighted minimum norm algorithm. Electroenceph. and Clin. Neurophys., 95(4):231-251, 1995.
    • (1995) Electroenceph. and Clin. Neurophys. , vol.95 , Issue.4 , pp. 231-251
    • Gorodnitsky, I.F.1    George, J.S.2    Rao, B.D.3
  • 8
    • 79955617662 scopus 로고    scopus 로고
    • 2 methods for finding sparse solutions
    • Rennes, France
    • 2 methods for finding sparse solutions. In SPARS09, Rennes, France, 2009.
    • (2009) SPARS09
    • Wipf, D.P.1    Nagarajan, S.2
  • 9
  • 13
    • 0023311646 scopus 로고
    • Multivariate lomax distribution: Properties and usefulness in reliability theory
    • T. K. Nayak. Multivariate Lomax distribution: properties and usefulness in reliability theory. Journal of Applied Probability, pages 170-177, 1987.
    • (1987) Journal of Applied Probability , pp. 170-177
    • Nayak, T.K.1
  • 18
    • 84898965689 scopus 로고    scopus 로고
    • Scale mixtures of Gaussians and the statistics of natural images
    • M.J. Wainwright and E. P. Simoncelli. Scale mixtures of Gaussians and the statistics of natural images. In NIPS, 2000.
    • (2000) NIPS
    • Wainwright, M.J.1    Simoncelli, E.P.2
  • 19
    • 85161974668 scopus 로고    scopus 로고
    • A new view of automatic relevance determination
    • D. Wipf and S. Nagarajan. A new view of automatic relevance determination. In NIPS, volume 20, 2008.
    • (2008) NIPS , vol.20
    • Wipf, D.1    Nagarajan, S.2
  • 21
    • 51449111119 scopus 로고    scopus 로고
    • Iteratively reweighted algorithms for compressive sensing
    • R. Chartrand and W Yin. Iteratively reweighted algorithms for compressive sensing. In ICASSP, pages 3869-3872, 2008.
    • (2008) ICASSP , pp. 3869-3872
    • Chartrand, R.1    Yin, W.2
  • 22
    • 0019574599 scopus 로고
    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • M.A. Fischler and R.C. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381-395, 1981.
    • (1981) Communications of the ACM , vol.24 , Issue.6 , pp. 381-395
    • Fischler, M.A.1    Bolles, R.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.