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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 10:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A Study on Diving Phase Classification toward Coaching Support for Competitive Swimming Soichiro Hashimoto, Yoshiteru Yamamoto, Keisuke Doman, Yoshito Mekada (Chukyo Univ.)  IMQ2019-55 IE2019-137 MVE2019-76 |
The performance of diving in competitive swimming is a key factor to get a good time record.The problem on the diving fo... [more] | IMQ2019-55 IE2019-137 MVE2019-76 pp.205-208 |
| ET | 2017-05-27 11:30 |
Tokyo | Soka Univ. | Support and Practices in an Applied Java Programming Exercise with Board Game Strategy and a Contest Style
-- Introduction of Virtual Environment for Battles and Revision of Rating Index for Ranking -- Naoki Hanakawa, Hiroyuki Tominaga (Kagawa Univ.) ET2017-3 |
We have proposed an applied Java programming exercise with board game strategy. We have also developed a support system ... [more] | ET2017-3 pp.13-20 |
| PRMU, SP, WIT, ASJ-H | 2016-06-13 15:00 |
Tokyo | Improvement of probabilistic latent semantic analysis using weighted information theoretic clustering Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2016-43 SP2016-9 WIT2016-9 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are models to analyze images and documents. This ... [more] |
PRMU2016-43 SP2016-9 WIT2016-9 pp.47-52 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2015-09-15 10:45 |
Ehime | Improvement of nonnegative matrix factorization for probabilistic latent semantic analysis Toshio Uchiyama (HIU) PRMU2015-83 IBISML2015-43 |
Nonnegative Matrix Factorization (NMF) is equivalent to PLSA (Probabilistic Latent Semantic Analysis), when it uses ge... [more] |
PRMU2015-83 IBISML2015-43 pp.117-122 |
|
| MBE, NC (Joint) |
2014-12-13 09:40 |
Aichi | Nagoya University | Competitive Learning Model for Freezing using Multiple Control Modules Masato Waragai, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2014-46 |
A model to control degrees of freedom (DOF) using modular structure is proposed for a problem of redundant degrees of fr... [more] | NC2014-46 pp.13-18 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2014-09-01 10:30 |
Ibaraki | Nonnegative Matrix Factorization using competitive learning Toshio Uchiyama (Hokkaido Info. Univ.) PRMU2014-37 IBISML2014-18 |
Nonnegative Matrix Factorization (NMF) is a popular technique in data processing, and convergence-guranteed multiplicati... [more] | PRMU2014-37 IBISML2014-18 pp.7-12 |
|
| MI | 2014-01-26 15:30 |
Okinawa | Bunka Tenbusu Kan | Hexahedral Finite Element Modeling of Human Tissue by Using Growing Self-Organizing Deformable Model Mari Oshibuchi, Ken'ichi Morooka, Tokuo Tsuji, Ryo Kurazume (Kyushu Univ.) MI2013-83 |
Finite Element Method(FEM) is one of the techniques for deformation simulations of human tissue.The basic concept of FEM... [more] | MI2013-83 pp.149-154 |
| MBE, NC (Joint) |
2013-03-15 15:35 |
Tokyo | Tamagawa University | A study on mixed sounds recognition in auditory information processing system using pulsed neural network Atsuro Watanabe, Susumu Kuroyanagi (Nagoya Inst. of Tech.) NC2012-181 |
In the previous study, we proposed auditory information processing system using pulsed neural network. In this system, i... [more] | NC2012-181 pp.273-278 |
| PRMU, IBISML, IPSJ-CVIM (Joint) [detail] |
2012-09-02 10:00 |
Tokyo | Information theoretic clustering using competitive learning
-- Comparison of criterion functions and algorithms for document clustering -- Toshio Uchiyama (NTT) PRMU2012-33 IBISML2012-16 |
Information-theoretic clustering (ITC) finds clusters based on the similarity of the distributions of features. An ITC a... [more] | PRMU2012-33 IBISML2012-16 pp.23-30 |
|
| NC | 2010-10-23 11:55 |
Fukuoka | Kyushu Inst. Tech. (Kitakyushu Sci. and Res. Park) | A neural network model for multiple 3D object recognition Yasuaki Higuchi, Nobuhiko Asakura, Toshio Inui (Kyoto Univ.) NC2010-44 |
We propose a neural network model for recognition of multiple objects that extends the Generalized Radial Basis Function... [more] | NC2010-44 pp.11-16 |
| PRMU, IE, MI | 2010-05-14 14:15 |
Aichi | Chubu Univ. | A novel method for minimum entropy clustering using competitive learning Toshio Uchiyama, Takeharu Eda, Katsuji Bessho, Tadasu Uchiyama, Katsuyoshi Tanabe (NTT) IE2010-39 PRMU2010-27 MI2010-27 |
We propose a novel method (algorithm), which uses competitive learning, for clustering based on minimizing average e... [more] |
IE2010-39 PRMU2010-27 MI2010-27 pp.139-144 |
| NC, MBE (Joint) |
2010-03-11 16:00 |
Tokyo | Tamagawa University | Neocognitron Trained by a New Competitive Learning Kunihiko Fukushima, Isao Hayashi (Kansai Univ.), Hayaru Shouno (Univ. of Electro-Comm.), Masayuki Kikuchi, Yuki Makino (Tokyo Univ. of Tech.) NC2009-155 |
The "neocognitron" is a hierarchical multilayered neural network capable of robust visual pattern recognition. It acqui... [more] | NC2009-155 pp.397-402 |
| ITE-ME, ITE-AIT, ITE-BCT, IE | 2008-11-28 14:10 |
Nagasaki | Nagasaki Univ. | Region segmentation for color images based on competitive learning between multi-layered neural networks Eiji Watanabe (Konan Univ.), Katsumi Mori (Fukuyama Univ.) IE2008-97 |
Image segmentation plays an important role in image understanding. It is necessary for such a method to extract each r... [more] |
IE2008-97 pp.55-60 |
| NC | 2007-03-15 10:10 |
Tokyo | Tamagawa University | Interpolating Vectors for Robust Pattern Recognition Kunihiko Fukushima, Isao Hayashi (Kansai Univ.) |
This paper proposes a powerful algorithm for pattern recognition, which uses \textit{interpolating vectors} for classify... [more] | NC2006-171 pp.105-110 |
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