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Volumn 2, Issue , 2012, Pages 1567-1574

Large scale variational Bayesian inference for structured scale mixture models

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE BAYESIAN INFERENCE; DE-NOISING; INPAINTING; MAP ESTIMATION; MULTIPLE SCALE; NATURAL IMAGE STATISTICS; PRIOR KNOWLEDGE; SCALE MIXTURES; TREE MODELS; VARIATIONAL BAYESIAN;

EID: 84867130291     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (10)
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    • Variational EM algorithms for non-Gaussian latent variable models
    • Palmer, J., Wipf, D., Kreutz-Delgado, K., and Rao, B. Variational EM algorithms for non-Gaussian latent variable models. In NIPS 18, pp. 1059-1066, 2006.
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    • Palmer, J.1    Wipf, D.2    Kreutz-Delgado, K.3    Rao, B.4
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    • Gaussian sampling by local perturbations
    • Papandreou, G. and Yuille, A. Gaussian sampling by local perturbations. In NIPS 23, pp. 1858-1866, 2010.
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    • Papandreou, G.1    Yuille, A.2
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    • Image inpainting with a wavelet domain hidden markov tree model
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    • Papandreou, G.1    Maragos, P.2    Kokaram, A.3
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    • Seeger, M.1    Nickisch, H.2
  • 9
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    • Large scale Bayesian inference and experimental design for sparse linear models
    • Seeger, M. and Nickisch, H. Large scale Bayesian inference and experimental design for sparse linear models. SIAM J. Imag. Sciences, 4(1):166-199, 2011.
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    • Seeger, M.1    Nickisch, H.2
  • 10
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    • A new view of automatic relevance determination
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.