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
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