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Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model

Kazuyuki Tanaka, Masamichi Nakamura, Shun Kataoka, Masayuki Ohzeki, Muneki Yasuda
2018 Journal of the Physical Society of Japan  
A new Bayesian modeling method is proposed by combining the maximization of the marginal likelihood with a momentum-space renormalization group transformation for Gaussian graphical models. Moreover, we present a scheme for computint the statistical averages of hyperparameters and mean square errors in our proposed method based on a momentumspace renormalization transformation.
doi:10.7566/jpsj.87.085001 fatcat:d4xqaxjaufhkvew3xvvsecvzza