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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, NLP
(Joint)		 2017-01-27
13:50		 Fukuoka Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. Toward Context-Dependent Robust Character Recognition using Large-scale Restricted Bayesian Network
Hidemoto Nakada, Yuuji Ichisugi (AIST) NC2016-59		 We have been proposing a computational model of the cerebral cortex called BESOM,
that models the cerebral cortex as r... [more]		 NC2016-59
pp.65-70
IBISML 2016-11-16
15:00		 Kyoto Kyoto Univ. A study of message propagation algorithms for approximate MAP inference of large scale probabilistic models
Takashi Sano, Yuuji Ichisugi (AIST AIRC) IBISML2016-57		 (To be available after the conference date) [more] IBISML2016-57
pp.81-86
CPSY, DC, IPSJ-ARC
(Joint) [detail]		 2015-08-05
17:00		 Oita B-Con Plaza (Beppu) An Implementation of the Master-Worker based Parameter Server and its Application to BESOM
Meigi Rei (U of Tsukuba), Yusuke Tanimura, Yuuji Ichisugi, Hidemoto Nakada (AIST) CPSY2015-33		 We have been proposing a computational model of the cerebral cortex called BESOM. BESOMmodels the cerebral cortex as Bay... [more] CPSY2015-33
pp.179-184
NC, MBE
(Joint)		 2010-03-11
10:40		 Tokyo Tamagawa University One Method of Sparse-coding Using BESOM
Yuuji Ichisugi (AIST), Haruo Hosoya (Univ. of Tokyo) NC2009-146		 BESOM model is a computational model of cerebral cortex
based on Bayesian network.
We introduced a mechanism of sparse... [more]		 NC2009-146
pp.345-350
NC 2007-03-14
14:30		 Tokyo Tamagawa University An ICA method of neural circuit for self-organization of hierarchical generative model
Yuuji Ichisugi (AIST) 		An ICA method for BESOM model is presented.
This mechanism
self-organizes hierarchical generative model of the world. [more]		 NC2006-145
pp.161-166
NC 2006-10-11
14:10		 Nara NAIST The cerebrum cortex model which executes belief propagation and self-organization of conditional probability table
Yuuji Ichisugi (AIST) 		A neural network model of cerebral cortex, BESOM model, is described. The network self-organizes conditional probability... [more] NC2006-50
pp.31-36
 Results 1 - 6 of 6  /   
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