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.