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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:25 |
Okinawa |
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Non-parallel and Many-to-Many Voice Conversion Using Variational Autoencoder Conditioned by Phonetic Posteriorgrams and d-vectors Yuki Saito (NTT/Univ. of Tokyo), Yusuke Ijima, Kyosuke Nishida (NTT), Shinnosuke Takamichi (Univ. of Tokyo) EA2017-105 SIP2017-114 SP2017-88 |
This paper proposes novel frameworks for non-parallel and many-to-many voice conversion (VC) using variational autoencod... [more] |
EA2017-105 SIP2017-114 SP2017-88 pp.21-26 |
MVE, IE, WIT, IMQ, CQ (Joint) [detail] |
2013-03-12 11:10 |
Fukuoka |
Fukuoka Institute of Technology |
Toward Affective-based Hightlighting User's Personal Experience: Analysis of Changes in Affective States Toki Takeda, Tetsuya Ura, Shiro Kumano, Takayuki Ogasawara, Kyosuke Nishida, Toru Sadakata, Minoru Kobayashi (NTT) IMQ2012-75 IE2012-179 MVE2012-136 WIT2012-85 |
The number of people recording their own experience has been growing because of the recent development of cameras, senso... [more] |
IMQ2012-75 IE2012-179 MVE2012-136 WIT2012-85 pp.227-232 |
AI |
2012-06-21 13:00 |
Tokyo |
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[Invited Talk]
Dynamic graph-drawing for large scale streaming data with HTML5 Tatsushi Matsubayashi (NTT), Ko Fujimura (Otuma Univ./NTT), Takahide Hoshide, Kyosuke Nishida (NTT) AI2012-1 |
We propose an interactive and real-time dynamic graph drawing system for visualizing the dynamics of streaming data. Our... [more] |
AI2012-1 pp.1-6 |
LOIS, IPSJ-CN, IPSJ-SPT |
2012-05-18 16:10 |
Chiba |
Chiba Institute of Technology |
Brand Analysis on Twitter by Estimation of User Profiles utilizing a Social Graph Sho Kawanaka, Kyosuke Nishida, Takeshi Kurashima, Takahide Hoshide (NTT), Ko Fujimura (Otsuma Women's Univ.) LOIS2012-7 |
We propose a method for analyzing brands using user attributes from Twitter. Our method extracts attributes from user de... [more] |
LOIS2012-7 pp.121-126 |
NC |
2009-01-20 15:55 |
Hokkaido |
Hokkaido Univ. |
Research on Human Behavior in Learning Tasks and a Proposal for a Change Detection Method Shohei Shimada, Kyosuke Nishida (Hokaido Univ.), Satoru Ishikawa (Hokusei Gakuen Univ.), Koichiro Yamauchi (Hokaido Univ.) NC2008-101 |
Online learning classifiers need to detect and respond quickly to concept changes in the case
where the target concept... [more] |
NC2008-101 pp.107-112 |
NC, MBE (Joint) |
2008-03-13 15:00 |
Tokyo |
Tamagawa Univ |
Modeling and Verifying a Hypothesis on Human Detection of Concept Drift Shohei Shimada, Kyosuke Nishida (Hokkaido Univ.), Satoru Ishikawa (Hokusei Gakuen Univ.), Koichiro Yamauchi (Hokkaido Univ.) NC2007-158 |
The ability to adapt to various types of changes is essential for the online classifier in order to deal with real-world... [more] |
NC2007-158 pp.273-278 |
PRMU |
2007-03-15 10:00 |
Okayama |
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An online spam filtering system for changing situations using multiple classifiers Kenta Narumi, Kyosuke Nishida, Koichiro Yamauchi (Hokkaido Univ.) |
Spam mail is a serious problem now. To eliminate many spam mails, many spam mail filters referring mail bodies have been... [more] |
PRMU2006-235 pp.1-6 |
PRMU |
2007-03-16 13:15 |
Okayama |
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Adaptive Classifiers-Ensemble System for Changing Situations Kyosuke Nishida (Hokkaido Univ./JSPS), Koichiro Yamauchi (Hokkaido Univ.) |
[more] |
PRMU2006-272 pp.103-108 |
NC |
2007-03-15 11:40 |
Tokyo |
Tamagawa University |
Speculative variable selection methods for quick online learning of classification tasks Shinpei Masuda, Youhei Tadeuchi, Kyosuke Nishida, Koichiro Yamauchi (Hokkaido Univ.) |
Generally, high dimensional datasets usually include redundant or useless features to achieve the learning of specified ... [more] |
NC2006-175 pp.129-134 |
NC |
2006-01-24 09:00 |
Hokkaido |
Hokkaido Univ. |
Adaptive Classifiers-Ensemble System for Concept-Drifting Environments Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori (Hokkaido Univ.) |
Most machine learning algorithms assume stationary environments, require a large number of training examples in advance,... [more] |
NC2005-98 pp.1-6 |
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