Teorico

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

by Kazuyuki Tanaka (GSIS, Tohoku University)

Europe/Rome
Aula Conversi (Dipartimento di Fisica - Ed. G.Marconi)

Aula Conversi

Dipartimento di Fisica - Ed. G.Marconi

Description
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 computing the statistical averages of hyperparameters and mean square errors in our proposed method based on a momentum-space renormalization group transformation.