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Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, SIP, SP 2019-03-14
13:30		 Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Snore sound identification using noise suppression and multi-class classification under real environments
Keisuke Nishijima, Ken'ichi Furuya (Oita Univ.) EA2018-106 SIP2018-112 SP2018-68		 In the conventional snore sound identification method, there is an issue that performance deteriorates when identifying ... [more] EA2018-106 SIP2018-112 SP2018-68
pp.43-48
MBE, NC
(Joint)		 2012-03-14
16:00		 Tokyo Tamagawa University Incremental Learning for regression on a budget
Koichiro Yamauchi (Chubu Univ) NC2011-145		 In our previous work, we had proposed a limited general regression neural network (LGRNN) for embedded systems.
The LGR... [more]		 NC2011-145
pp.141-146
SIS 2007-12-11
12:45		 Hyogo   On the SIRMs Connected Fuzzy Reasoning Method Using Kernel
Hirosato Seki (Osaka Univ.), Fuhito Mizuguchi (Kronos), Satoshi Watanabe, Hiroaki Ishii (Osaka Univ.), Masaharu Mizumoto (Osaka Electro-Communication Univ.) SIS2007-63		 Single Input Rule Modules connected fuzzy reasoning method (SIRMs method, for short) by Yubazaki can decrease the number... [more] SIS2007-63
pp.29-34
PRMU, NLC 2005-02-25
13:45		 Tokyo   [Special Talk] Kernel Methods for Analyzing Structured-data
Hisashi Kashima (IBM Research) 		We introduce kernel-based approaches for analyzing structured data
such as sequences, trees, and graphs.
Especially,
... [more]		 NLC2004-126 PRMU2004-208
pp.61-66
AI 2004-06-21
10:50		 Tokyo Kikai-Shinko-Kaikan Bldg. Kernel-based Discriminative Learning Algorithms for Labeling Sequences, Trees and Graphs
Hisashi Kashima, Yuta Tsuboi (IBM Research) 		We introduce a new perceptron-based discriminative learning algorithm fo
r labeling structural data such as sequences, ... [more]		 AI2004-3
pp.13-18
 Results 1 - 5 of 5  /   
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