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A simulation-based estimator for hidden Markov random fields

โœ Scribed by Veijanen, A.

Book ID
117873645
Publisher
IEEE
Year
1991
Tongue
English
Weight
467 KB
Volume
13
Category
Article
ISSN
0162-8828

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Markov random field (MRF) is a useful technical tool for modeling dynamics systen~s exhibiting some type of spatio-temporal variability. In this paper, we propose optimal filters for the states of a partially observed temporal Markov random field. We also discuss parameters estimation. This general