Presentation | 2005-02-25 Ascii Art Pattern Recognition using SVM based on Morphological Analysis Hiroki TANIOKA, Minoru Maruyama, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Late years, ASCII Art is commonly found among Internet-based E-mail and WWW, such as Face letters and pictographic characters have no linguistic characters. Normally, ASCII Art conveys the meaning of the word as visual meaningful information, but takes on a meaning of no lingistic. On this account, we are hard to understand the right meaning of the word. The most important thing about this study is a hight-accuracy ASCII Art pattern classification to extract the ASCII Art from the sentence using Support Vector Machine. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Morphological Analysis / Pattern Recognition / Support Vector Machine / ASCII Art |
Paper # | NLC2004-120,PRMU2004-202 |
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Committee | NLC |
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Conference Date | 2005/2/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Ascii Art Pattern Recognition using SVM based on Morphological Analysis |
Sub Title (in English) | |
Keyword(1) | Morphological Analysis |
Keyword(2) | Pattern Recognition |
Keyword(3) | Support Vector Machine |
Keyword(4) | ASCII Art |
1st Author's Name | Hiroki TANIOKA |
1st Author's Affiliation | Strategy R&D, Justsystem Corporation() |
2nd Author's Name | Minoru Maruyama |
2nd Author's Affiliation | Dept. Information Engineering, Faculty of Engineering, Shinshu University |
Date | 2005-02-25 |
Paper # | NLC2004-120,PRMU2004-202 |
Volume (vol) | vol.104 |
Number (no) | 668 |
Page | pp.pp.- |
#Pages | 6 |
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