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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-23 11:35 |
Okinawa | Okinawa Institute of Science and Technology | Multiple Latent Space GTM for Visualization of Tensorial Data Kazushi Higa, Tetsuo Furukawa (Kyutech)  IBISML2015-6 |
The generative topographic map (GTM) is a continuous latent space model, which enables to visualize a high-dimensional d... [more] | IBISML2015-6 pp.33-38 |
| NC, MBE (Joint) |
2014-03-17 15:00 |
Tokyo | Tamagawa University | Visualization using Supervised Generative Topographic Mapping Nobuhiko Yamaguchi (Saga Univ.) NC2013-97 |
Generative Topographic Mapping (GTM) is a nonlinear latent variable model introduced by Bishop et al. as a data visualiz... [more] | NC2013-97 pp.53-58 |
| MBE, NC (Joint) |
2013-03-15 10:15 |
Tokyo | Tamagawa University | Bayesian inference for GTM using non-stationary Gaussian process Nobuhiko Yamaguchi (Saga Univ.) NC2012-168 |
Generative Topographic Mapping (GTM) is a nonlinear topographically preserving mapping from latent to data space introdu... [more] | NC2012-168 pp.197-202 |
| MBE, NC (Joint) |
2013-03-15 10:40 |
Tokyo | Tamagawa University | On the self-organization of topographic mapping in Bolzmann machines Akira Date (Univ. of Miyazaki), Koji Kurata (Univ. of Ryukyus) NC2012-169 |
We propose a learning algorithm for Boltzmann neural fields developed by Kurata (1988). The Boltzmann machine learning a... [more] | NC2012-169 pp.203-208 |
| 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 |
| MBE, NC (Joint) |
2012-03-15 14:10 |
Tokyo | Tamagawa University | Comprehensive Understanding of Self-Oragnizing Map and Generative Topographic Mapping Satoshi Matsushita, Tetsuo Furukawa (Kyutech) NC2011-165 |
The purpose of this paper is to find out the comprehensive understanding of the representative topographic mappings, i... [more] |
NC2011-165 pp.257-262 |
| ET | 2012-03-10 15:30 |
Kagawa | Development of a Walk Rally Type Topographical Map Learning Support System Using a Mobile Terminal Takaaki Fukuda, Hisaharu Tanaka, Kenzi Watanabe, Yasuhisa Okazaki (Saga Univ.) ET2011-124 |
We have developed a walk rally type topographical map learning support system using a mobile terminal. This system is a... [more] |
ET2011-124 pp.137-141 |
|
| NC | 2012-01-26 15:15 |
Hokkaido | Future University Hakodate | The learning theory and algorithm of latent multi-dynamical systems
-- Implementation by higher-order topographic mapping -- Tetsuo Furukawa, Takashi Ohkubo (Kyutech) NC2011-107 |
The purpose of this paper is to establish the learning theory of multiple dynamical systems, as well as to develop the ... [more] |
NC2011-107 pp.59-64 |
| 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 |
| NC, MBE (Joint) |
2011-03-09 09:50 |
Tokyo | Tamagawa University | A link between smoothness of tonotopic map and statistics of auditory stimuli Hiroki Terashima, Masato Okada (Univ. of Tokyo) NC2010-182 |
Physiological studies have revealed that the primary auditory cortex (A1) has a disordered tonotopic map, unlike the tid... [more] | NC2010-182 pp.325-330 |
| NC, NLP | 2009-07-13 11:00 |
Nara | NAIST | Acceleration of Learning Process of Self-Organizing Maps Using Asymmetric Neighborhood Functions Kaiichiro Ota, Takaaki Aoki (Kyoto Univ.), Koji Kurata (Univ. of the Ryukyus), Toshio Aoyagi (Kyoto Univ.) NLP2009-16 NC2009-9 |
In primary sensory cortices, there exists a significant ordered structure called a topographic map. The self-organizing ... [more] | NLP2009-16 NC2009-9 pp.13-18 |
| NC, MBE (Joint) |
2009-03-12 15:15 |
Tokyo | Tamagawa Univ. | Visualization of time series using GTM Nobuhiko Yamaguchi (Saga Univ.) NC2008-135 |
The GTM (Generative Topographic Mapping) algorithm was proposed as a probabilistic re-formulation of the self-organizi... [more] |
NC2008-135 pp.189-194 |
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