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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, NC (Joint) |
2017-11-24 16:50 |
Miyagi |
Tohoku University |
NC2017-32 |
Continuous latent variable model is a category of dimension reduction methods, which estimates low dimensional latent va... [more] |
NC2017-32 pp.29-34 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2017-06-23 17:40 |
Okinawa |
Okinawa Institute of Science and Technology |
Kansei analysis of landscape images by Tensor SOM
-- Simultaneous analysis of evaluators, subjects, and evaluation words -- Kyouhei Itonaga (Kyutech), Tohru Iwasaki (Colorcle), Kaori Yoshida, Tetsuo Furukawa (Kyutech) NC2017-12 |
In the field of Kansei evaluation, it is investigated and analyzed by using evaluation words with various subjects and o... [more] |
NC2017-12 pp.45-50 |
NC |
2015-01-29 16:05 |
Fukuoka |
Kyushu Institute of Technology |
Robustness of Tensor SOM for Missing Data Yasuhiro Wakita, Toru Iwasaki, Tetsuo Furukawa (Kyutech) NC2014-61 |
Tensor SOM is an extension of the self-organizing map (SOM), which enables us to visualize simultaneous visualization of... [more] |
NC2014-61 pp.21-26 |
EA |
2014-06-27 13:30 |
Mie |
Mie Univ. |
An experimental study of optimum parameters in hybrid modulation based on amplitude and frequency with parametric loudspeaker for suitable speech reproduction Toru Iwasaki, Daisuke Ikefuji, Masato Nakayama, Takanobu Nishiura (Ritsumeikan Univ.) EA2014-6 |
Parametric loudspeaker with sharper directivity has been generally used for audio guidance to a specific listener. To em... [more] |
EA2014-6 pp.7-12 |
NC, MBE (Joint) |
2014-03-17 15:40 |
Tokyo |
Tamagawa University |
Analysis of the MovieLens dataset using Tensor SOM Yosuke Date, Yasuhiro Wakita, Toru Iwasaki, Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-99 |
Tensor SOM is an extension of Self-Organizing Map (SOM) from vectorial data to tensorial ones. The aim of this paper is ... [more] |
NC2013-99 pp.63-68 |
NC, MBE (Joint) |
2013-07-20 09:55 |
Tokushima |
The University of Tokushima |
Individual visualization of lifestyle pattern by SOM2 with class estimation Hideaki Ishibashi, Toru Iwasaki, Keiichi Horio (Kyushu Inst. of Tech.), Hideyuki Namba (Wayo Women's Univ), Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-20 |
To decrease the risk of lifestyle-related deseases, it is important to recognize the life pattern such as exercise and s... [more] |
NC2013-20 pp.29-34 |
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 |
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 |
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