3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2014★ 3 cited
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…
cs.CV2014★ 3 cited
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…