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MRF parameter estimation by MCMC method

✍ Scribed by Lei Wang; Jun Liu; Stan Z. Li

Book ID
104160530
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
426 KB
Volume
33
Category
Article
ISSN
0031-3203

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✦ Synopsis

Markov random "eld (MRF) modeling is a popular pattern analysis method and MRF parameter estimation plays an important role in MRF modeling. In this paper, a method based on Markov Chain Monte Carlo (MCMC) is proposed to estimate MRF parameters. Pseudo-likelihood is used to represent likelihood function and it gives a good estimation result.

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