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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-15 10:30 |
Online | Online | Extraction of User Communication Behavior from DNS Query Logs by Non-Negative Tensor Factorization Approach Kotaro Hatanaka, Tatsuaki Kimura, Tetsuya Takine (Osaka Univ.)  NS2021-43 |
Understanding user communication behavior by analyzing network logs has been playing an important role in security monit... [more] | NS2021-43 pp.57-62 |
| 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 |
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