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Markov Zinciri Monte Carlo ile Tam Bayesçi Imge Ayrıstırma (Fully bayesian image separation using Markov chain Monte Carlo)

Conference Paper
Publication Date:
2007
abstract:
In this study, we investigate the image separation problem under noisy environments. In the definition of the problem, the Bayesian approach is considered. We present a fully stochastic method based on Markov chain Monte Carlo (MCMC), instead of other deterministic methods, used in Bayesian image separation.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Bayesian source separation; MCMC; Gibbs sampling; Markov random fields
List of contributors:
Kuruoglu, ERCAN ENGIN
Authors of the University:
KURUOGLU ERCAN ENGIN
Handle:
https://iris.cnr.it/handle/20.500.14243/102614
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