22 citations · 148 across the 31 of their papers we have counts for
4 papers · 1 filter
Boltzmann-Machine Learning of Prior Distributions of Binarized Natural Images
Tomoyuki Obuchi, Hirokazu Koma, Muneki Yasuda
Prior distributions of binarized natural images are learned by using a Boltzmann machine. According the results of this study, there emerges a structure with two sublattices in the…
Composite Likelihood Estimation for Restricted Boltzmann machines
Muneki Yasuda, Shun Kataoka, Yuji Waizumi +1
Learning the parameters of graphical models using the maximum likelihood estimation is generally hard which requires an approximation. Maximum composite likelihood estimations are…
Bayesian Reconstruction of Missing Observations
Shun Kataoka, Muneki Yasuda, Kazuyuki Tanaka
We focus on an interpolation method referred to Bayesian reconstruction in this paper. Whereas in standard interpolation methods missing data are interpolated deterministically, in…
Bayesian image segmentations by Potts prior and loopy belief propagation
Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda +2
This paper presents a Bayesian image segmentation model based on Potts prior and loopy belief propagation. The proposed Bayesian model involves several terms, including the pairwis…