22 citations · 148 across the 31 of their papers we have counts for
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cond-mat.stat-mech2017★ 22 cited
Susceptibility Propagation by Using Diagonal Consistency
Muneki Yasuda, Kazuyuki Tanaka
A susceptibility propagation that is constructed by combining a belief propagation and a linear response method is used for approximate computation for Markov random fields. Herein…
stat.ML2017★ 4 cited
Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field
Muneki Yasuda, Junpei Watanabe, Shun Kataoka +1
In this paper, we consider Bayesian image denoising based on a Gaussian Markov random field (GMRF) model, for which we propose an new algorithm. Our method can solve Bayesian image…
stat.ML2017
Solving Non-parametric Inverse Problem in Continuous Markov Random Field using Loopy Belief Propagation
Muneki Yasuda, Shun Kataoka
In this paper, we address the inverse problem, or the statistical machine learning problem, in Markov random fields with a non-parametric pair-wise energy function with continuous…