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Volumn , Issue , 2007, Pages 369-376

Using combinatorial optimization within max-product belief propagation

Author keywords

[No Author keywords available]

Indexed keywords

BELIEF PROPAGATION; BELIEF PROPAGATION ALGORITHM; BIPARTITE MATCHINGS; COMBINATORIAL OPTIMIZATION ALGORITHM; CORRESPONDENCE PROBLEMS; GEOMETRIC CONSTRAINT; IMPROVED CONVERGENCE; MARKOV RANDOM FIELDS; MATCHING CONSTRAINTS; MAX-PRODUCT; MAXIMUM A POSTERIORI; MINIMUM CUT; MUTUAL EXCLUSIONS; REAL NETWORKS; REGULAR NETWORKS; RUNNING TIME; SUB-NETWORK; SUBNETWORKS;

EID: 84864047140     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (20)
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    • Anguelov, D.1    Koller, D.2    Srinivasan, P.3    Thrun, S.4    Pang, H.5    Davis, J.6
  • 2
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    • Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. In ICCV, 1999.
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    • Boykov, Y.1    Veksler, O.2    Zabih, R.3
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  • 7
    • 36248972102 scopus 로고    scopus 로고
    • Measuring uncertainty in graph cut solutions - Efficiently computing min-marginal energies using dynamic graph cuts
    • P. Kohli and P. Torr. Measuring uncertainty in graph cut solutions - efficiently computing min-marginal energies using dynamic graph cuts. In ECCV, 2006.
    • (2006) ECCV
    • Kohli, P.1    Torr, P.2
  • 8
    • 85131702754 scopus 로고    scopus 로고
    • On the optimality of tree-reweighted max-product message-passing
    • V. Kolmogorov and M. Wainwright. On the optimality of tree-reweighted max-product message-passing. In UAI '05.
    • UAI ' 05
    • Kolmogorov, V.1    Wainwright, M.2
  • 9
    • 0344940838 scopus 로고    scopus 로고
    • What energy functions can be minimized via graph cuts?
    • V. Kolmogorov and R. Zabih. What energy functions can be minimized via graph cuts? In ECCV, 2002.
    • (2002) ECCV
    • Kolmogorov, V.1    Zabih, R.2
  • 10
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    • The quadratic assignment problem
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    • Lawler, E.1
  • 11
    • 0002425879 scopus 로고    scopus 로고
    • Loopy belief propagation for approximate inference: An empirical study
    • K. Murphy and Y. Weiss. Loopy belief propagation for approximate inference: An empirical study. In UAI '99.
    • UAI ' 99
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  • 13
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    • MRF's for MRI's: Bayesian reconstruction of MR images via graph cuts
    • To appear
    • A. Raj, G. Singh, and R. Zabih. MRF's for MRI's: Bayesian reconstruction of MR images via graph cuts. In CVPR, 2006. To appear.
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    • Raj, A.1    Singh, G.2    Zabih, R.3
  • 15
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    • Normalized cuts and image segmentation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.