메뉴 건너뛰기




Volumn 60, Issue 10, 2012, Pages 5163-5175

Maximum marginal likelihood estimation for nonnegative dictionary learning in the gamma-poisson model

Author keywords

Automatic relevance determination; model order selection; Monte Carlo EM; nonnegative matrix factorization; sparse coding; variational EM

Indexed keywords

AUTOMATIC RELEVANCE DETERMINATION; MODEL-ORDER SELECTION; MONTE CARLO; NONNEGATIVE MATRIX FACTORIZATION; SPARSE CODING; VARIATIONAL EM;

EID: 84866511641     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2012.2207117     Document Type: Article
Times cited : (32)

References (29)
  • 1
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non negative matrix factorization
    • D. D. Lee and H. S. Seung, "Learning the parts of objects by non negative matrix factorization," Nature, vol. 401, pp. 788-791, 1999.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 2
    • 0002594849 scopus 로고
    • Bayesian-based iterative method of image restoration
    • W. H. Richardson, "Bayesian-based iterative method of image restoration," J. Opt. Soc. Amer., vol. 62, pp. 55-59, 1972.
    • (1972) J. Opt. Soc. Amer. , vol.62 , pp. 55-59
    • Richardson, W.H.1
  • 3
    • 0001050714 scopus 로고
    • An iterative technique for the rectification of observed distributions
    • L. B. Lucy, "An iterative technique for the rectification of observed distributions," Astron. J., vol. 79, pp. 745-754, 1974.
    • (1974) Astron. J. , vol.79 , pp. 745-754
    • Lucy, L.B.1
  • 4
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • M. S. Lewicki and T. J. Sejnowski, "Learning overcomplete representations," Neural Comput., vol. 12, pp. 337-365, 2000.
    • (2000) Neural Comput. , vol.12 , pp. 337-365
    • Lewicki, M.S.1    Sejnowski, T.J.2
  • 9
    • 67650927380 scopus 로고    scopus 로고
    • Bayesian inference for nonnegative matrix factorisation models
    • Article ID 785152, doi: 10.1155/2009/785152
    • A. T. Cemgil, "Bayesian inference for nonnegative matrix factorisation models," Comput. Intell. Neurosci., p. 17, 2009, Article ID 785152, doi: 10.1155/2009/785152.
    • (2009) Comput. Intell. Neurosci. , pp. 17
    • Cemgil, A.T.1
  • 12
    • 0041974049 scopus 로고
    • Marginal likelihood from the Gibbs output
    • S. Chib, "Marginal likelihood from the Gibbs output," J. Amer. Statist. Assoc., vol. 90, no. 432, pp. 1313-1321, 1995.
    • (1995) J. Amer. Statist. Assoc. , vol.90 , Issue.432 , pp. 1313-1321
    • Chib, S.1
  • 16
    • 80051594038 scopus 로고    scopus 로고
    • Algorithms for nonnegative matrix factorization with the beta-divergence
    • Sep
    • C. Févotte and J. Idier, "Algorithms for nonnegative matrix factorization with the beta-divergence," Neural Comput., vol. 23, no. 9, Sep. 2011.
    • Neural Comput. , vol.23 , Issue.9 , pp. 2011
    • Févotte, C.1    Idier, J.2
  • 20
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A. P. Dempster, N. M. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Statist. Soc., vol. 1, no. 39, pp. 1-38, 1977.
    • (1977) J. Roy. Statist. Soc. , vol.1 , Issue.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.3
  • 21
    • 13844295342 scopus 로고    scopus 로고
    • The variational Bayesian em algorithm for incomplete data: With application to scoring graphical model structures
    • J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, and M. West, Eds. London, U.K.: Oxford Univ. Press
    • M. J. Beal and Z. Ghahramani, "The variational Bayesian EM algorithm for incomplete data: With application to scoring graphical model structures," in Bayesian Statistics 7, J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, and M. West, Eds. London, U.K.: Oxford Univ. Press, 2003.
    • (2003) Bayesian Statistics 7
    • Beal, M.J.1    Ghahramani, Z.2
  • 22
    • 84950432017 scopus 로고
    • A Monte Carlo implementation of the em algorithm and the poor man's data augmentation algorithms
    • G. C. G. Wei and M. A. Tanner, "A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms," J. Amer. Statist. Assoc., vol. 85, no. 411, pp. 699-704, 1990.
    • (1990) J. Amer. Statist. Assoc. , vol.85 , Issue.411 , pp. 699-704
    • Wei, G.C.G.1    Tanner, M.A.2
  • 23
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
    • Jun
    • S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell., vol. 6, no. 6, pp. 721-741, Jun. 1984.
    • (1984) IEEE Trans. Pattern Anal. Mach. Intell. , vol.6 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 25
    • 49149085985 scopus 로고    scopus 로고
    • When does non-negative matrix factorization give a correct decomposition into parts?
    • S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press
    • D. Donoho and V. Stodden, "When does non-negative matrix factorization give a correct decomposition into parts?," in Advances in Neural Information Processing Systems 16, S. Thrun, L. Saul, and B. Schölkopf, Eds. Cambridge, MA: MIT Press, 2004.
    • (2004) Advances in Neural Information Processing Systems 16
    • Donoho, D.1    Stodden, V.2
  • 29
    • 63249085556 scopus 로고    scopus 로고
    • Nonnegative matrix factorization with the Itakura-Saito divergence. with application to music analysis
    • Mar
    • C. Févotte, N. Bertin, and J.-L. Durrieu, "Nonnegative matrix factorization with the Itakura-Saito divergence. With application to music analysis," Neural Comput., vol. 21, no. 3, pp. 793-830, Mar. 2009.
    • (2009) Neural Comput. , vol.21 , Issue.3 , pp. 793-830
    • Févotte, C.1    Bertin, N.2    Durrieu, J.-L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.