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Committee Date Time Place Paper Title / Authors Abstract Paper #
WBS, IT, ISEC 2021-03-04
10:55		 Online Online An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section
Koshi Shimada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-115 ISEC2020-45 WBS2020-34		 In this paper, we present an efficient coding algorithm for a non-stationary source based on context tree models that ve... [more] IT2020-115 ISEC2020-45 WBS2020-34
pp.19-24
COMP 2008-06-16
11:00		 Ishikawa JAIST A Context Tree Weighting Algorithm with an Adaptive Window
Tomohiro I, Kohei Hatano, Hideo Bannai, Masayuki Takeda (Kyushu Univ.) COMP2008-17		 The Context Tree Weighting Method (CTW) is one of the most effective algorithm in the area of universal data compression... [more] COMP2008-17
pp.15-22
IT 2004-07-29
11:20		 Chiba Tokyo Univ. (Kashiwa) Redundancy of Bayes Coding for Nonstationary Sources with Piecewise Constant Parameters
Tota Suko, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ.) 		In this paper we treat universal source coding when the parameters of the probabilistic model of source are known.
Baye... [more]		 IT2004-22
pp.23-28
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