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Volumn , Issue , 2009, Pages 737-744

Continuously-Adaptive Discretization for Message-Passing algorithms

Author keywords

[No Author keywords available]

Indexed keywords

INFERENCE ENGINES; PROBABILITY DISTRIBUTIONS;

EID: 84858779894     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (20)
  • 2
    • 0027560587 scopus 로고
    • Approximating probabilistic inference in Bayesian belief networks is NP-hard
    • DOI 10.1016/0004-3702(93)90036-B
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    • (1993) Artificial Intelligence , vol.60 , Issue.1 , pp. 141-153
    • Dagum Paul1    Luby Michael2
  • 4
    • 0000388721 scopus 로고    scopus 로고
    • Generalized belief propagation
    • Jonathan S. Yedidia,William T. Freeman, and YairWeiss. Generalized belief propagation. In NIPS, pages 689-695, 2000.
    • (2000) NIPS , pp. 689-695
    • Yedidia, J.S.1    Freeman, W.T.2    Weiss, Y.3
  • 5
    • 0345978970 scopus 로고    scopus 로고
    • Expectation propagation for approximate bayesian inference
    • T. Minka. Expectation propagation for approximate bayesian inference. In Proc. UAI, pages 362-369, 2001.
    • (2001) Proc. UAI , pp. 362-369
    • Minka, T.1
  • 6
    • 0001361993 scopus 로고
    • The two-filter formula for smoothing and an implementation of the gaussian-sum smoother
    • G. Kitagawa. The two-filter formula for smoothing and an implementation of the gaussian-sum smoother. Ann. Inst. Statist. Math., 46(4):605-623, 1994.
    • (1994) Ann. Inst. Statist. Math. , vol.46 , Issue.4 , pp. 605-623
    • Kitagawa, G.1
  • 10
    • 17544404795 scopus 로고    scopus 로고
    • Pampas: Real-valued graphical models for computer vision
    • M. Isard. Pampas: Real-valued graphical models for computer vision. In Proc. CVPR, volume 1, pages 613-620, 2003.
    • (2003) Proc. CVPR , vol.1 , pp. 613-620
    • Isard, M.1
  • 12
    • 33745618417 scopus 로고    scopus 로고
    • Deterministic approximate inference techniques for conditionally Gaussian state space models
    • DOI 10.1007/s11222-006-8770-8
    • O. Zoeter and H. Heskes. Deterministic approximate inference techniques for conditionally gaussian state space models. Statistics and Computing, 16(3):279-292, 2006. (Pubitemid 43992696)
    • (2006) Statistics and Computing , vol.16 , Issue.3 , pp. 279-292
    • Zoeter, O.1    Heskes, T.2
  • 14
    • 0006416672 scopus 로고    scopus 로고
    • Nonuniform dynamic discretization in hybrid networks
    • Alexander V. Kozlov and Daphne Koller. Nonuniform dynamic discretization in hybrid networks. In Proc. UAI, pages 314-325, 1997.
    • (1997) Proc. UAI , pp. 314-325
    • Kozlov, A.V.1    Koller, D.2
  • 15
    • 0016557674 scopus 로고
    • Multidimensional binary search trees used for associative searching
    • Jon Louis Bentley. Multidimensional binary search trees used for associative searching. Commun. ACM, 18(9):509-517, 1975.
    • (1975) Commun. ACM , vol.18 , Issue.9 , pp. 509-517
    • Louis Bentley, J.1
  • 17
    • 84949966985 scopus 로고    scopus 로고
    • Finding deformable shapes using loopy belief propagation
    • J. Coughlan and S. Ferreira. Finding deformable shapes using loopy belief propagation. In Proc. ECCV, pages 453-468, 2002.
    • (2002) Proc. ECCV , pp. 453-468
    • Coughlan, J.1    Ferreira, S.2
  • 18
    • 84932651113 scopus 로고    scopus 로고
    • Shape matching with belief propagation: Using dynamic quantization to accommodate occlusion and clutter
    • J. Coughlan and H. Shen. Shape matching with belief propagation: Using dynamic quantization to accommodate occlusion and clutter. In Proc. Workshop on Generative-Model Based Vision, 2004.
    • (2004) Proc. Workshop on Generative-Model Based Vision
    • Coughlan, J.1    Shen, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.