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papers

Publications (7)

Posterior Mean Super-resolution with a Causal Gaussian Markov Random Field Prior

Takayuki Katsuki, Akira Torii, Masato Inoue

Posterior Mean Super-Resolution with a Compound Gaussian Markov Random Field Prior

Takayuki Katsuki, Masato Inoue

Line operator indices of S-fold theories

Yosuke Imamura, Masato Inoue, Akihiro Sei

Structure Learning of Markov Random Fields through Grow-Shrink Maximum Pseudolikelihood Estimation

Yuya Takashina, Shuyo Nakatani, Masato Inoue

Brane expansions for anti-symmetric line operator index

Yosuke Imamura, Masato Inoue

cond-mat.stat-mech2005

An LDPCC decoding algorithm based on Bowman-Levin approximation --Comparison with BP and CCCP--

Masato Inoue, Miho Komiya, Yoshiyuki Kabashima

cond-mat.dis-nn2002

On-Line Learning Theory of Soft Committee Machines with Correlated Hidden Units - Steepest Gradient Descent and Natural Gradient Descent -

Masato Inoue, Hyeyoung Park, Masato Okada