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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2018-11-05
15:10		 Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Lattice Model Selection of Gaussian Markov Random Field
Hirosato Ito, Hirotaka Sakamoto, Shun Katakami, Masato Okada (Univ. Tokyo) IBISML2018-69		 Recently, many observed images have been obtained in various natural scientific fields. It is very important issue to e... [more] IBISML2018-69
pp.191-196
IBISML 2018-11-05
15:10		 Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Estimation of Sparse Basis Representation for Non-periodic data
Shun Katakami, Hirotaka Sakamoto, Yasuhiko Igarashi, Masato Okada (Univ. Tokyo) IBISML2018-71		 In this research, we propose a method to estimate a sparse basis representation for non-periodic data. For periodic data... [more] IBISML2018-71
pp.205-212
IBISML 2018-11-05
15:10		 Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Hyperparameter distribution estimation for binary images with the exchange Monte Carlo method
Koki Obinata, Shun Katakami, Yue Yonghao, Masato Okada (UTokyo) IBISML2018-79		 We estimate the distribution of hyperparameters corresponding to the coupling constant and noise in- tensity from an Isi... [more] IBISML2018-79
pp.263-270
IBISML 2017-11-10
13:00		 Tokyo Univ. of Tokyo Approximated hyperparameter distribution estimation using Gaussian process and Bayesian optimization
Shun Katakami, Hirotaka Sakamoto, Masato Okada (UTokyo) IBISML2017-81		 In order to reduce the computational cost of Bayesian inference, we propose a method to estimate the Bayesian posterior ... [more] IBISML2017-81
pp.333-338
IBISML 2016-11-17
14:00		 Kyoto Kyoto Univ. Gaussian Markov random field model without periodic boundary conditions
Shun Katakami, Hirotaka Sakamoto, Shin Murata, Masato Okada (UTokyo) IBISML2016-83		 In this study, we discuss Gaussian Markov random field model without periodic boundary conditions. First, we formulate a... [more] IBISML2016-83
pp.267-274
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