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 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AI, IPSJ-ICS, JSAI-SAI, JSAI-DOCMAS, JSAI-KBS
(Joint)
2020-03-09
15:20
Hokkaido   Improvement of generalization performance in fish species discrimination and catch prediction using echo sounder images
Yuto Mori, Keiji Suzuki, Masaaki Wada (FUN) AI2019-63
A Set-Net fishery has various problems. One of the problems is that it is difficult to cope with fishing restrictions fo... [more] AI2019-63
pp.55-60
EA, US
(Joint)
2017-01-26
09:25
Kyoto Doshisha Univ. Development of species classification system by the deep learning using the broadband split-beam
Atsushi Kinjo, Ikuo Matsuo (TGU), Tomohito Imaizumi (FRA,NRIFE) US2016-108
pecies classification using an acoustic sounder is important for fisheries. With schools of mixed species, it is necessa... [more] US2016-108
pp.173-178
SANE 2016-11-24
15:10
Overseas National Taipei University of Technology (NTUT) Modified Nearest Feature Space Approach for High Dimensional Data Sets
Yang Lang Chang, Yung-Hao Lai, Tzu-Wei Tseng, Jyh-Perng Fang (NTUT) SANE2016-65
With the progress of remote sensing technology, the high volume of high dimensional data sets is increased rapidly. Thus... [more] SANE2016-65
pp.71-73
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
15:50
Ibaraki   Fish species classification by the support vector machine
Atsushi Kinjo, Masanori Ito, Ikuo Matsuo (Tohoku Gakuin Univ.), Tomohito Imaizumi, Tomonari Akamatsu (FRA-NRI) PRMU2014-45 IBISML2014-26
Fish species classification using echo-sounder is important for fisheries. With school of mixed species, it is necessary... [more] PRMU2014-45 IBISML2014-26
pp.57-62
PRMU 2013-03-14
10:00
Tokyo   Correction term of fisher discriminant analysis based on normal distribution
Tatsuya Yokota (Tokyo Inst. of Tech.), Toru Wakahara (Hosei Univ.), Hitoshi Sakano (NTT), Yukihiko Yamashita (Tokyo Inst. of Tech.) PRMU2012-185
Fisher's linear discriminant is one of the most basic feature extraction methods for pattern recognition. However, even ... [more] PRMU2012-185
pp.31-36
PRMU 2009-02-20
09:30
Tokyo Univ. of Tokyo (IIS) Document Classification by Local Fisher Discriminant Analysis
Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2008-225
Dimensionality reduction is one of the important preprocessing steps
in practical pattern recognition.
SEmi-supervised... [more]
PRMU2008-225
pp.103-108
NC, MBE
(Joint)
2008-03-13
15:40
Tokyo Tamagawa Univ Selecting independent feature sets for the branch networks of the large scale classifier CombNET-III
Toshiyuki Miyatani, Mauricio Kugler, Susumu Kuroyanagi, Akira Iwata (NIT) NC2007-173
CombNET-III is an improved version of CombNET-II, which was developed to solve large-scale classification problems. Comb... [more] NC2007-173
pp.361-366
IE, ITE-BCT, ITE-ME, ITE-AIT 2007-11-30
09:55
Saga Saga University A study of Classification Method of Tree Images.
Masayuki Kawamoto, Shigeomi Hara (Saga Univ.) IE2007-100
In this research, Our goal is to distinguish the tree kind from a tree image. The texture of a tree crown is analyzed, a... [more] IE2007-100
pp.59-63
IN, RCS
(Joint)
2006-05-19
11:15
Tokyo   Classification and evaluation of overlay routing methods in ISP topologies
Ryota Fukumoto, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) IN2006-12
In recent years, overlay networks have been deployed in the Internet. On overlay networks, each application constructs ... [more] IN2006-12
pp.67-72
NC 2006-01-24
11:15
Hokkaido Hokkaido Univ. Embedding of labeled multimodal data
Yuki Shinada, Masashi Sugiyama (Tokyo Tech.)
In order to improve the recognition accuracy of high dimensional patterns, it is important to appropriately reduce the n... [more] NC2005-102
pp.25-30
 Results 1 - 10 of 10  /   
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