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 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   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   [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   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   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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