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Volumn , Issue , 2006, Pages 845-850

Belief propagation in large, highly connected graphs for 3D part-based object recognition

Author keywords

[No Author keywords available]

Indexed keywords

BELIEF PROPAGATION (BP); INFERENCE ALGORITHMS; MESSAGE AGGREGATION;

EID: 77958073150     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2006.26     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 1
    • 34748835615 scopus 로고    scopus 로고
    • A probabilistic approach to protein backbone tracing in electron density maps
    • F. DiMaio, J. Shavlik and G. Phillips (2006). A probabilistic approach to protein backbone tracing in electron density maps. Proc. ISMB.
    • (2006) Proc. ISMB
    • DiMaio, F.1    Shavlik, J.2    Phillips, G.3
  • 2
    • 34748814108 scopus 로고    scopus 로고
    • Improving the efficiency of belief propagation in large, highly connected graphs
    • F. DiMaio and J. Shavlik (2006). Improving the efficiency of belief propagation in large, highly connected graphs. Working Paper 06-1, UWML Research Group.
    • (2006) Working Paper 06-1, UWML Research Group
    • DiMaio, F.1    Shavlik, J.2
  • 5
    • 84898929223 scopus 로고    scopus 로고
    • Efficient multiscale sampling from products of gaussian mixtures
    • A. Ihler, E. Sudderth, W. Freeman, and A. Willsky (2004). Efficient multiscale sampling from products of gaussian mixtures. Proc. NIPS.
    • (2004) Proc. NIPS
    • Ihler, A.1    Sudderth, E.2    Freeman, W.3    Willsky, A.4
  • 6
    • 17544404795 scopus 로고    scopus 로고
    • PAMPAS: Real-valued graphical models for computer vision
    • M. Isard (2003). PAMPAS: Real-valued graphical models for computer vision. Proc. CVPR.
    • (2003) Proc. CVPR
    • Isard, M.1
  • 8
    • 0041918994 scopus 로고    scopus 로고
    • A general algorithm for approximate inference and its application to hybrid Bayes nets
    • D. Koller, U. Lerner, and D. Angelov (1999). A general algorithm for approximate inference and its application to hybrid Bayes nets. Proc. UAI.
    • (1999) Proc. UAI
    • Koller, D.1    Lerner, U.2    Angelov, D.3
  • 10
    • 0002425879 scopus 로고    scopus 로고
    • Loopy belief propagation for approximate inference: An empirical study
    • K. Murphy, Y. Weiss, and M. Jordan (1999). Loopy belief propagation for approximate inference: An empirical study. Proc. UAI.
    • (1999) Proc. UAI
    • Murphy, K.1    Weiss, Y.2    Jordan, M.3
  • 14
    • 0342772688 scopus 로고    scopus 로고
    • Interpreting images by propagating Bayesian beliefs
    • Y. Weiss (1996). Interpreting images by propagating Bayesian beliefs. Proc. NIPS.
    • (1996) Proc. NIPS
    • Weiss, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.