Loopy belief propagation and probabilistic image processing

Kazuyuki Tanaka; Jun Ichi Inoue; D. M. Titterington

doi:10.1109/NNSP.2003.1318032

Loopy belief propagation and probabilistic image processing

Kazuyuki Tanaka, Jun Ichi Inoue, D. M. Titterington

INF - Applied Information Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	329-338
Number of pages	10
ISBN (Electronic)	0780381777
DOIs	https://doi.org/10.1109/NNSP.2003.1318032
Publication status	Published - 2003
Event	13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003 - Toulouse, France Duration: 2003 Sept 17 → 2003 Sept 19

Publication series

Name	Neural Networks for Signal Processing - Proceedings of the IEEE Workshop
Volume	2003-January

Other

Other	13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003
Country/Territory	France
City	Toulouse
Period	03/9/17 → 03/9/19

ASJC Scopus subject areas

Electrical and Electronic Engineering
Artificial Intelligence
Software
Computer Networks and Communications
Signal Processing

Access to Document

10.1109/NNSP.2003.1318032

Cite this

Tanaka, K., Inoue, J. I., & Titterington, D. M. (2003). Loopy belief propagation and probabilistic image processing. In 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003 (pp. 329-338). [1318032] (Neural Networks for Signal Processing - Proceedings of the IEEE Workshop; Vol. 2003-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NNSP.2003.1318032

Loopy belief propagation and probabilistic image processing. / Tanaka, Kazuyuki; Inoue, Jun Ichi; Titterington, D. M.
2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 329-338 1318032 (Neural Networks for Signal Processing - Proceedings of the IEEE Workshop; Vol. 2003-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tanaka, K, Inoue, JI & Titterington, DM 2003, Loopy belief propagation and probabilistic image processing. in 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP 2003., 1318032, Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, vol. 2003-January, Institute of Electrical and Electronics Engineers Inc., pp. 329-338, 13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003, Toulouse, France, 03/9/17. https://doi.org/10.1109/NNSP.2003.1318032

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abstract = "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.",

author = "Kazuyuki Tanaka and Inoue, {Jun Ichi} and Titterington, {D. M.}",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 13th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2003 ; Conference date: 17-09-2003 Through 19-09-2003",

year = "2003",

doi = "10.1109/NNSP.2003.1318032",

language = "English",

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ER -

Loopy belief propagation and probabilistic image processing

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