Presentation | 1995/7/15 A study of data compaction by Bayes Coding Atsushi Shimizu, Toshiyasu Matsushima, Shigeichi Hirasawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Among the universal coding problems, Bayes Coding is one of the most active subject in the research field of recent data compaction. The Bayes Coding Algorithms for FSMX sources proposed in the recent researches use a fixed-depth context tree. In this paper, we study the compression ratio of the newly proposed algorithm which uses a variable-depth context tree, and investigate the difference of redundancy caused by prior probability distribution of prameters. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Bayes Coding / FSMX sources / context tree |
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Committee | IT |
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Conference Date | 1995/7/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Theory (IT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study of data compaction by Bayes Coding |
Sub Title (in English) | |
Keyword(1) | Bayes Coding |
Keyword(2) | FSMX sources |
Keyword(3) | context tree |
1st Author's Name | Atsushi Shimizu |
1st Author's Affiliation | Department of Industrial Engineering and Management School of Science and Engineering Waseda University() |
2nd Author's Name | Toshiyasu Matsushima |
2nd Author's Affiliation | Department of Industrial Engineering and Management School of Science and Engineering Waseda University |
3rd Author's Name | Shigeichi Hirasawa |
3rd Author's Affiliation | Department of Industrial Engineering and Management School of Science and Engineering Waseda University |
Date | 1995/7/15 |
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Volume (vol) | vol.95 |
Number (no) | 145 |
Page | pp.pp.- |
#Pages | 6 |
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