Optimal filters for a hidden Markov random field model |
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| Authors: | L Aggoun L Benkherouf A Benmerzouga |
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| Institution: | Department of Mathematics and Statistics Sultan Qaboos University P.O. Box 36, Al-Khod 123, Sultanate of Oman |
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| Abstract: | A Markov random field (MRF) is a useful technical tool for modeling dynamics systems 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 generalizes an earlier work by Elliott and Aggoun 1]. |
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| Keywords: | Hidden Markov models Spatio-Temporal models Optimal filtering Measure change techniques |
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