Loopy belief propagation and probabilistic image processing

被引：3
|
作者：
Tanaka, K [1 ]
Inoue, JI [1 ]
Titterington, DM [1 ]
机构：
[1] Tohoku Univ, Grad Sch Informat Sci, Aoba Ku, Sendai, Miyagi 9808579, Japan
来源：
2003 IEEE XIII WORKSHOP ON NEURAL NETWORKS FOR SIGNAL PROCESSING - NNSP'03 | 2003年
关键词：
D O I：
10.1109/NNSP.2003.1318032
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Estimation of hyperparameters by maximization of the marginal likelihood in probabilistic image processing is investigated by using the cluster variation method. The algorithms are substantially equivalent to generalized loopy belief propagation.
引用
收藏
页码：329 / 338
页数：10
相关论文
共 50 条
  • [31] Loopy belief propagation: Convergence and effects of message errors
    Ihler, AT
    Fisher, JW
    Willsky, AS
    JOURNAL OF MACHINE LEARNING RESEARCH, 2005, 6 : 905 - 936
  • [32] On Sentiment Polarity Assignment in the Wordnet Using Loopy Belief Propagation
    Kulisiewicz, Marcin
    Kajdanowicz, Tomasz
    Kazienko, Przemyslaw
    Piasecki, Maciej
    HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2015), 2015, 9121 : 451 - 462
  • [33] On the convergence of loopy belief propagation algorithm for different update rules
    Taga, N
    Mase, S
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2006, E89A (02) : 575 - 582
  • [34] An Analysis into the Loopy Belief Propagation Algorithm over Short Cycles
    Raveendran, Nithin
    Srinivasa, Shayan Garani
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 2009 - 2014
  • [35] Applications of Gibbs measure theory to loopy belief propagation algorithm
    Taga, Nobuyuki
    Mase, Shigeru
    MICAI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4293 : 197 - +
  • [36] Loopy Belief Propagation Application for Advanced Decision Making Models
    Watthayu, Wiboonsak
    PROCEEDINGS OF THE 2ND INTERNATIONAL SYMPOSIUM ON COMPUTER, COMMUNICATION, CONTROL AND AUTOMATION, 2013, 68 : 213 - 216
  • [37] Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation
    Cao, Faxian
    Yang, Zhijing
    Jiang, Mengying
    Chen, Weizhao
    Ye, Qiuliang
    Ling, Wing-Kuen
    2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2017, : 1061 - 1064
  • [38] Dense motion and disparity estimation via loopy belief propagation
    Isard, M
    MacCormick, J
    COMPUTER VISION - ACCV 2006, PT II, 2006, 3852 : 32 - 41
  • [39] On the properties of the Bethe approximation and loopy belief propagation on binary networks
    Mooij, JM
    Kappen, HJ
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2005, : 231 - 248
  • [40] Exploiting symmetries for scaling loopy belief propagation and relational training
    Babak Ahmadi
    Kristian Kersting
    Martin Mladenov
    Sriraam Natarajan
    Machine Learning, 2013, 92 : 91 - 132
12345