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arXiv · 1804.00727

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

Kazuyuki Tanaka·Masamichi Nakamura·Shun Kataoka·Masayuki Ohzeki·Muneki Yasuda
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Abstract

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.

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Kazuyuki Tanaka, Masamichi Nakamura, Shun Kataoka, Masayuki Ohzeki, Muneki Yasuda. 2018-03-20. Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model. https://doi.org/10.7566/jpsj.87.085001

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