Presentation | 2007-03-14 A Batch learning Transductive Support Vector Machine for Online EEG Classification in Brain Computer Interface Ryo KOJIMA, Koji SONOGASHIRA, Charles DASALLA, Yan LI, Shen S, Makoto SATO, Yasuharu KOIKE, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we show a fully on-line adaptive BCI by using Transductive Support Vector Machine (TSVM) which is one of the semi-supervised learning methods. Proposed method makes the best recognition accuracies in our experiments and is suitable for the adaptive BCIs. We use EEC signals that are easy to work for the interface. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Brain Computer Interface / Semi-supervised learning / EEG |
Paper # | NC2006-132 |
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Committee | NC |
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Conference Date | 2007/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Batch learning Transductive Support Vector Machine for Online EEG Classification in Brain Computer Interface |
Sub Title (in English) | |
Keyword(1) | Brain Computer Interface |
Keyword(2) | Semi-supervised learning |
Keyword(3) | EEG |
1st Author's Name | Ryo KOJIMA |
1st Author's Affiliation | Tokyo Institute of Technology() |
2nd Author's Name | Koji SONOGASHIRA |
2nd Author's Affiliation | Tokyo Institute of Technology |
3rd Author's Name | Charles DASALLA |
3rd Author's Affiliation | Tokyo Institute of Technology |
4th Author's Name | Yan LI |
4th Author's Affiliation | Tokyo Institute of Technology |
5th Author's Name | Shen S |
5th Author's Affiliation | Tokyo Institute of Technology |
6th Author's Name | Makoto SATO |
6th Author's Affiliation | Tokyo Institute of Technology |
7th Author's Name | Yasuharu KOIKE |
7th Author's Affiliation | Tokyo Institute of Technology |
Date | 2007-03-14 |
Paper # | NC2006-132 |
Volume (vol) | vol.106 |
Number (no) | 588 |
Page | pp.pp.- |
#Pages | 6 |
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