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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] 2019-09-20
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
EA, SIP, SP 2019-03-14
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
HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] 2018-07-26
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
SP 2017-08-30
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
SP 2017-08-30
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
SP 2016-08-24
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
EA, SP, SIP 2016-03-29
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
(Joint) [detail]
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
ICD, IPSJ-ARC 2015-01-29
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
IBISML 2014-11-17
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
SIP 2013-08-29
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
NC, NLP 2013-01-24
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
NC 2012-10-04
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]
IBISML 2012-03-13
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
NC 2012-01-27
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]
IBISML 2011-11-09
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
IBISML 2011-03-29
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]
 Results 1 - 17 of 17  /   
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