Staistical-mechanical iterative algorithm by means of cluster variation method in compound Gauss-Markov random field model

被引：0
|
作者：
Tanaka, Kazuyuki [1 ]
机构：
[1] Dept. of Comp. and Math. Sciences, Grad. School of Information Sciences, Tohoku University
来源：
Transactions of the Japanese Society for Artificial Intelligence | 2001年 / 16卷 / 02期
关键词：
Bayes statistics - Cluster variation methods - Compound Gauss-Markov random - Field models - Maximum a posteriori estimation - Mean-field approximation;
D O I：
10.1527/tjsai.16.259
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：259 / 267
相关论文
共 15 条
  • [1] Reconstruction of emission tomographic images using the compound Gauss-Markov random field
    Kudo, Hiroyuki
    Saito, Tsuneo
    Systems and Computers in Japan, 1993, 24 (04) : 78 - 87
  • [2] Gauss-Markov Random Field model for non-quadratic regularization of complex SAR images
    Gleich, Dusan
    Planninsic, Peter
    Kseneman, Matej
    Soccorsi, Matteo
    PROCEEDINGS OF THE 4TH WSEAS INTERNATIONAL CONFERENCE ON REMOTE SENSING (REMOTE'08): RECENT ADVANCES IN REMOTE SENSING, 2008, : 79 - +
  • [3] Gauss-Markov Random Field model for non-quadratic regularization of complex SAR images
    Gleich, Dusan
    Planinsic, Peter
    Kseneman, Matej
    Soccorsi, Matteo
    PROCEEDINGS OF THE 7TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND SIMULATION IN ENGINEERING (ICOSSSE '08): RECENT ADVANCES IN SYSTEMS SCIENCE AND SIMULATION IN ENGINEERING, 2008, : 395 - +
  • [4] Quantization of Content-adaptive Orthonormal Transforms using a Gauss-Markov Random Field Model for Images
    Boragolla, Rashmi
    Yahampath, Pradeepa
    2024 DATA COMPRESSION CONFERENCE, DCC, 2024, : 547 - 547
  • [5] Segmentation of brain MR images based on the measurement of difference of mutual information and Gauss-Markov random field model
    Wang, Wenhui
    Feng, Qianjin
    Chen, Wufan
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2009, 46 (03): : 521 - 527
  • [6] Grinding surface roughness measurement based on Gauss-Markov random field model of laser speckle pattern texture
    Yang Lei
    Lu Rongsheng
    Lei Liqiao
    FOURTH INTERNATIONAL SEMINAR ON MODERN CUTTING AND MEASUREMENT ENGINEERING, 2011, 7997
  • [7] MEAN-FIELD ANNEALING USING COMPOUND GAUSS-MARKOV RANDOM-FIELDS FOR EDGE-DETECTION AND IMAGE ESTIMATION
    ZERUBIA, J
    CHELLAPPA, R
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1993, 4 (04): : 703 - 709
  • [8] Passive Error Concealment for Wavelet-Coded I-Frames With an Inhomogeneous Gauss-Markov Random Field Model
    Rombaut, Joost
    Pizurica, Aleksandra
    Philips, Wilfried
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2009, 18 (04) : 783 - 796
  • [9] Multisource image fusion method using markov random field model and EM algorithm
    Electronic Business Department of Jiangxi, University of Finance and Economics, Nanchang 330013, China
    Chin. J. Sens. Actuators, 2006, 2 (525-529):
  • [10] Bimodal-random field Blume-Capel model in the cluster variation method
    Yessoufou, R. A. A.
    Albayrak, E.
    Seto, G.
    CHINESE JOURNAL OF PHYSICS, 2022, 77 : 2713 - 2723
12