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ホサカ タダアキ
HOSAKA TADAAKI
保坂 忠明 所属 明治大学 理工学部 職種 専任准教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2006/06 |
| 形態種別 | 学術雑誌 |
| 査読 | 査読あり |
| 標題 | Statistical mechanical approach to lossy data compression: Theory and practice |
| 執筆形態 | 共著(筆頭者) |
| 掲載誌名 | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS |
| 掲載区分 | 国外 |
| 出版社・発行元 | ELSEVIER SCIENCE BV |
| 巻・号・頁 | 365(1),pp.113-119 |
| 著者・共著者 | T Hosaka,Y Kabashima |
| 概要 | The encoder and decoder for lossy data compression of binary memoryless sources are developed on the basis of a specific-type nonmonotonic perceptron. Statistical mechanical analysis indicates that the potential ability of the perceptron-based code saturates the theoretically achievable limit in most cases although exactly performing the compression is computationally difficult. To resolve this difficulty, we provide a computationally tractable approximation algorithm using belief propagation (BP), which is a current standard algorithm of probabilistic inference. Introducing several approximations and heuristics, the BP-based algorithm exhibits performance that is close to the achievable limit in a practical time scale in optimal cases. (c) 2006 Elsevier B.V. All rights reserved. |
| DOI | 10.1016/j.physa.2006.01.013 |
| ISSN | 0378-4371 |