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
Kalman filtering of a space-time Markov random field
β Scribed by L. Aggoun
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 746 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0895-7177
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