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Cursive word recognition using a random field based hidden Markov model

โœ Scribed by George Saon

Publisher
Springer-Verlag
Year
1999
Tongue
English
Weight
186 KB
Volume
1
Category
Article
ISSN
1433-2833

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Optimal filters for a hidden Markov rand
Optimal filters for a hidden Markov random field model
โœ L. Aggoun; L. Benkherouf; A. Benmerzouga ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 550 KB

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