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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Training Parse Trees for Efficient VF Coding
| Title: | Training Parse Trees for Efficient VF Coding |
| Authors: | Uemura, Takashi Browse this author | | Yoshida, Satoshi Browse this author | | Kida, Takuya Browse this author →KAKEN DB | | Asai, Tatsuya Browse this author | | Okamoto, Seishi Browse this author |
| Issue Date: | 2010 |
| Publisher: | Springer Berlin / Heidelberg |
| Citation: | String Processing and Information Retrieval : 17th International Symposium, SPIRE 2010, Los Cabos, Mexico, October 11-13, 2010. Proceedings (Lecture Notes in Computer Science; 6393), 2010, pp.179-184, ISBN: 978-3-642-16320-3, ISSN: 0302-9743, E-ISSN: 1611-3349 |
| Publisher DOI: | 10.1007/978-3-642-16321-0_17 |
| Abstract: | We address the problem of improving variable-length-to-fixed-length codes (VF codes), which have favourable properties for fast compressed pattern matching but moderate compression ratios. Compression ratio of VF codes depends on the parse tree that is used as a dictionary. We propose a method that trains a parse tree by scanning an input text repeatedly, and we show experimentally that it improves the compression ratio of VF codes rapidly to the level of state-of-the-art compression methods. |
| Rights: | The original publication is available at www.springerlink.com |
| Type: | bookchapter (author version) |
| URI: | http://hdl.handle.net/2115/50054 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 喜田 拓也
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