IEICE Technical Committee Submission System
Conference Schedule		 Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 25 of 25 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC 2012-01-26
15:15		 Hokkaido Future University Hakodate The learning theory and algorithm of latent multi-dynamical systems -- Implementation by higher-order topographic mapping --
Tetsuo Furukawa, Takashi Ohkubo (Kyutech) NC2011-107		 The purpose of this paper is to establish the learning theory of multiple dynamical systems, as well as to develop
the ... [more]		 NC2011-107
pp.59-64
NLP 2011-03-10
14:20		 Tokyo Tokyo University of Science A Manifold Learning Approach for Analyzing Chaos in A Dripping Faucet System
Hiromichi Suetani (Kagoshima Univ./JST/RIKEN), Hiroki Kuroiwa, Hiroki Hata (Kagoshima Univ.), Shotaro Akaho (AIST) NLP2010-173		 Dripping water from a faucet is very familiar to us and it provides various nonlinear phenomena including chaos. When i... [more] NLP2010-173
pp.57-62
NC, NLP, IPSJ-BIO [detail] 2010-06-18
16:00		 Okinawa Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan An approach to SOM Canonica. -- To Establish Multi-Manifold Learning Theory. --
Takashi Ohkubo, Tetsuo Furukawa (Kyushu Inst. of Tech.) NLP2010-7 NC2010-7		 The purpose of this research is to establish “SOM Canonica”. SOM Canonica is a canonical form of self-organizing map (SO... [more] NLP2010-7 NC2010-7
pp.45-50
NC 2006-06-16
15:10		 Okinawa OIST Self-organizing map of self-organizing maps -- A proposal of "bundle learning" --
Tetsuo Furukawa (KIT) 		Kohonen's self-organizin map (SOM) is an architecture that generates a map of a given dataset. In this paper, a novel ex... [more] NC2006-34
pp.69-74
PRMU, HIP 2006-01-20
16:55		 Osaka Osaka Univ. Unsupervised and Semi-Supervised Extraction of Fuzzy Clusters in Similarity Data
Weiwei Du, Kohei Inoue, Kiichi Urahama (Kyushu Univ.) 		A method is presented for sequential extraction of arbitrarily-shaped fuzzy clusters from similarity data. Clusters buri... [more] PRMU2005-177 HIP2005-147
pp.165-170
 Results 21 - 25 of 25 [Previous]  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan