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  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] 2019-09-20
15:25
Niigata Tokimeito, Niigata University Analysis of Daily Activities and Intervention Acceptability Using Nonnegative Tensor Factorization
Masahiro Kohjima, Masami Takahashi, Takeshi Kurashima, Tatsushi Matsubayashi, Hiroyuki Toda (NTT) LOIS2019-18 IE2019-31 EMM2019-75
In order to improve people's lifestyles to prevent lifestyle-related diseases, it is important to understand not only th... [more] LOIS2019-18 IE2019-31 EMM2019-75
pp.97-102
EA, SIP, SP 2019-03-14
15:15
Nagasaki i+Land nagasaki (Nagasaki-shi) Convergence-guaranteed independent positive semidefinite tensor analysis for blind source separation
Kanta Fukushige, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa-NICT), Hiroshi Saruwatari (UTokyo), Rintaro Ikeshita, Tomohiro Nakatani (NTT) EA2018-127 SIP2018-133 SP2018-89
This paper focuses on independent positive semidefinite tensor analysis (IPSDTA), which is a technique for over-determin... [more] EA2018-127 SIP2018-133 SP2018-89
pp.167-172
HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] 2018-07-26
11:45
Hokkaido Sapporo Convention Center Real-time Botnet Detection Using Nonnegative Tucker Decomposition
Hideaki Kanehara, Yuma Murakami (Waseda Univ.), Jumpei Shimamura (Clwit), Takeshi Takahashi (NICT), Noboru Murata (Waseda Univ.), Daisuke Inoue (NICT) ISEC2018-38 SITE2018-30 HWS2018-35 ICSS2018-41 EMM2018-37
This study focuses on darknet traffic analysis and applies tensor factorization in order to detect coordinated group act... [more] ISEC2018-38 SITE2018-30 HWS2018-35 ICSS2018-41 EMM2018-37
pp.297-304
SP 2017-08-30
11:00
Kyoto Kyoto Univ. [Poster Presentation] Discrimination and Feature Estimation of Brain Magnetic Field Data Associated with Japanese Speech Sound Imagery
Shihomi Uzawa (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Seiji Nakagawa (Chiba Univ./AIST) SP2017-28
Brain computer interface (BCI) technologies, which enable direct communication between the brain and external devices, h... [more] SP2017-28
pp.39-43
SP 2017-08-30
16:40
Kyoto Kyoto Univ. Extraction of brain activities related to impressions induced by HVAC sound using discriminant non-negative tensor factorization
Hajime Yano (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Masaru Kamiya (DENSO), Seiji Nakagawa (Chiba Univ./AIST) SP2017-33
To evaluate auditory impressions induced by HVAC (heating, ventilation and air conditioning) sound using a predictive mo... [more] SP2017-33
pp.61-66
SP 2016-08-24
16:15
Kyoto ACCMS, Kyoto Univ. [Poster Presentation] Extraction of brain activity related to auditory impressions induced by HVAC sound using non-negative tensor decomposition
Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Takuya Hotehama (AIST), Masaru Kamiya (DENSO), Seiji Nakagawa (Chiba Univ.) SP2016-34
To evaluate auditory impressions induced by HVAC (heating, ventilation and air conditioning) sound using neurophysiologi... [more] SP2016-34
pp.37-40
EA, SP, SIP 2016-03-29
16:05
Oita Beppu International Convention Center B-ConPlaza Popularity Analysis of "Yuru-chara" Using Images and Names
Yuri Nakasato, Toshihisa Tanaka (TUAT) EA2015-136 SIP2015-185 SP2015-164
``Yuru-chara'' is a mascot which has been produced for advertising and economic development projects in local areas and ... [more] EA2015-136 SIP2015-185 SP2015-164
pp.391-396
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-23
10:20
Okinawa Okinawa Institute of Science and Technology Analysis of Travel Behaviors using Nonnegative Multiple Tensor Factorization
Yusuke Kumagae, Ryota Imai, Tatsushi Matsubayashi, Yoshihide Sato, Tsutomu Horioka (NTT) IBISML2015-3
To have tourists enjoy the sightseeing, it is important for the information provider to grasp the aim of tour and to und... [more] IBISML2015-3
pp.15-19
ICD, IPSJ-ARC 2015-01-29
16:00
Kanagawa   [Invited Talk] Machine Learning Techniques for Capturing the Essence Hidden in Data
Hiroshi Sawada (NTT) ICD2014-113
Recent development of information and communications technologies enable us to collect and store massive amount of data.... [more] ICD2014-113
p.19
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Multitask learning meets tensor factorization: task imputation via convex optimization
Kishan Wimalawarne (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo), Ryota Tomioka (TTIC) IBISML2014-49
We study a multitask learning problem in which each task is parametrized by a weight vector and indexed by a pair of ind... [more] IBISML2014-49
pp.111-118
SIP 2013-08-29
16:10
Tokyo Tokyo University of Agriculture and Technology [Tutorial Lecture] Tensor-Based Machine Learning: Modeling, Algorithms and Applications
Qibin Zhao, Andrzej Cichocki (RIKEN) SIP2013-73
Tensors are a generalization of vectors and matrices to higher dimensions that can naturally represent the multidimensio... [more] SIP2013-73
pp.35-40
NC, NLP 2013-01-24
11:30
Hokkaido Hokkaido University Centennial Memory Hall Tensor Decomposition using Self-Organizing Map and Missing Data Estimation
Koji Hashimoto, Toru Iwasaki, Tetsuo Furukawa (Kyutech) NLP2012-110 NC2012-100
Tensor-Decomposition Self-Organizing Map (TD-SOM) is a nonlinear tensor decomposition method based on SOM. The aim of th... [more] NLP2012-110 NC2012-100
pp.37-42
NC 2012-10-04
16:40
Fukuoka Kyushu Institute of Technology (Wakamatsu Campus) Tensor Decomposition using Self-Organizing Map and Missing Data Estimation
Toru Iwasaki, Tetsuo Furukawa (KIT) NC2012-46
The aim of this work is to develop a nonlinear tensor decomposition
algorithm based on the self-organizing map (SOM), ... [more]
NC2012-46
pp.55-60
IBISML 2012-03-13
14:40
Tokyo The Institute of Statistical Mathematics Matrix and Tensor Factorization with Aggregated Observations
Yoshifumi Aimoto, Hisashi Kashima (Univ. of Tokyo) IBISML2011-103
Matrix and tensor factorization with low-rank assumption are fundamental tools in data analysis. However, the existing m... [more] IBISML2011-103
pp.109-116
NC 2012-01-27
11:50
Hokkaido Future University Hakodate Tensor decomposition based on self-organizing map
Toru Iwasaki, Saori Wada, Tetsuo Furukawa (KIT) NC2011-114
The aim of this paper is to develop a nonlinear tensor decomposition
algorithm based on the self-organiing map (SOM). T... [more]
NC2011-114
pp.101-106
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. A kernel-based approach for matrix and tensor completion
Kohei Hayashi, Takashi Takenouchi (NAIST), Ryota Tomioka, Hisashi Kashima (Univ. Tokyo) IBISML2011-53
We study a new kernel-based framework for matrix and tensor completion problems. Our model provides a consistent way to ... [more] IBISML2011-53
pp.71-77
IBISML 2011-03-29
10:10
Osaka Nakanoshima Center, Osaka Univ. Tensor factorization using auxiliary information
Atsuhiro Narita (Univ. Tokyo), Kohei Hayashi (NAIST), Ryota Tomioka (Univ. Tokyo), Hisashi Kashima (Univ. of Tokyo/JST) IBISML2010-124
Most of the existing completion methods of tensors (i.e. multi-way
arrays) only assume that tensors to be completed are... [more]
IBISML2010-124
pp.139-146
 Results 1 - 17 of 17  /   
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