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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 60 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS, IPSJ-AVM 2014-09-11
14:50
Yamagata SHONAI INDUSTRIAL PROMOTION CENTER Smoothed Data Density Histogram on Self-Organizing Map and Its Application to Cluster Analysis
Yuriko Tsunoda, Kouichiro Hayashi, Hideaki Kawano, Hiroshi Maeda (Kyutech) SIS2014-57
This paper proposes an automatic cluster analysis method using self-organizing feature maps (SOM). SOM-based cluster ana... [more] SIS2014-57
pp.45-50
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, IPSJ-BIO 2013-06-27
16:35
Okinawa Okinawa Institute of Science and Technology The wing shape analysis of Mars aircraft by SOM-based shape space method
Kyouhei Itonaga (Kyushu Inst. of Tech.), Sho Yakushiji (CALACULU Inc.), Akira Oyama (JAXA), Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-3
The purpose of this paper is to analyze the wing shapes for Mars exploration aircraft by using the shape space method ba... [more] NC2013-3
pp.35-40
HCGSYMPO
(2nd)
2012-12-10
- 2012-12-12
Kumamoto Kumamoto-Shintoshin-plaza Analysis of Key Operation like the Gamepad Style for Smartphone
Kenichiro Yamada, Atsuhiro Noguchi, Kazuhiro Notomi (Kanagawa Institute of Technology), Keiichi Saito (International University of Health and Welfare)
In this study, we have proposed, implemented and evaluated a keystroke authentication method using multi-touch-mode on s... [more]
MBE, NC
(Joint)
2012-03-14
14:35
Tokyo Tamagawa University Viewpoint map organized by another-SOM2
Hideaki Ishibashi, Tetsuo Furukawa (Kyutech) NC2011-137
The aim of this work is to develop a Self-Organizing Map (SOM) which
organizes a map of viewpoints. For example, the r... [more]
NC2011-137
pp.93-98
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
VLD, CPSY, RECONF, IPSJ-SLDM [detail] 2012-01-25
11:40
Kanagawa Hiyoshi Campus, Keio University An Image Recognition System with Hierarchical Feature Learning Function
Masahiro Ariizumi, Baku Ogasawara, Hakaru Tamukoh, Masatoshi Sekine (TUAT) VLD2011-95 CPSY2011-58 RECONF2011-54
In this paper we describe an image recognition system having a hierarchical feature learning function. The feature learn... [more] VLD2011-95 CPSY2011-58 RECONF2011-54
pp.25-30
SIS 2011-12-15
14:20
Yamaguchi   A Reproduction Method of Real-Coded Genetic Algorithm Based on Self-Organizing Map
Yoshiaki Ueda, Ryosuke Kubota (Ube NCT) SIS2011-44
Genetic algorithm is a search algorithm based on mechanism of natural selection and natural genetics. To solve optimizat... [more] SIS2011-44
pp.25-29
SIS 2011-03-03
10:50
Tokyo Tokyo City University (Setagaya Campus) Dynamically reconfigurable platform for self-organizing neural networks
Hakaru Tamukoh, Masatoshi Sekine (TUAT) SIS2010-55
In this paper, we propose a dynamically reconfigurable platform for self-organizing neural network hardware.
In the pro... [more]
SIS2010-55
pp.13-17
PRMU, FM 2010-12-10
11:40
Yamaguchi   An Image Recognition System by Tree Structured SOM with Feature Learning Function
Masahiro Ariizumi, Shuta Saito, Hakaru Tamukoh, Masatoshi Sekine (TUAT) PRMU2010-143
In this paper, we describe an image recognition system combining a tree structured Self Organizing Map(SOM) for feature ... [more] PRMU2010-143
pp.97-102
NC, NLP, IPSJ-BIO [detail] 2010-06-18
16:00
Okinawa Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan An approach to SOM Canonica. -- To Establish Multi-Manifold Learning Theory. --
Takashi Ohkubo, Tetsuo Furukawa (Kyushu Inst. of Tech.) NLP2010-7 NC2010-7
The purpose of this research is to establish “SOM Canonica”. SOM Canonica is a canonical form of self-organizing map (SO... [more] NLP2010-7 NC2010-7
pp.45-50
SIS 2010-06-10
14:50
Hokkaido Abashiri Public Auditorium Decorated Character Recognition by Topological Matching with Self-Organizing Map
Tsukasa Masuhara, Hideaki Orii, Hideaki Kawano, Hiroshi Maeda (Kyushu Inst. of Tech.) SIS2010-9
Character recognition is a classical issue which has been devoted by a lot of researchers. Making character
recognition... [more]
SIS2010-9
pp.49-53
SIS 2010-03-05
10:30
Kanagawa Kanagawa Institute of Technology [Poster Presentation] A Method for Multiple Image Interpolation Employing Self-Organizing Map
Katsuaki Shiraishi, Hideaki Kawano, Hiroshi Maeda, Norikazu Ikoma (Kyushu Inst. of Tech.) SIS2009-65
Morphing is one of the techniques that generate the interpolation image between those shapes, to express changing from a... [more] SIS2009-65
pp.89-93
ITE-AIT, IE, ITE-HI, ITE-ME, ITS 2010-02-15
13:25
Hokkaido Graduate School of Information and Technology, Hokkaido Univ. Color Quantization in Document Images by Using Self-Organizing Map
Akihiro Tabata, Kouta Fujisaki, Junji Maeda (Muroran Inst. of Tech.) ITS2009-53 IE2009-147
This paper presents the color quantization of color document images by using a self-organizing map (SOM). The purpose of... [more] ITS2009-53 IE2009-147
pp.95-100
CAS 2010-01-28
13:50
Kyoto Kyoudai-Kaikan Bldg. Tree Structured SOM Hardware by using hw/sw Complex
Shuta Saito, Hakaru Tamukoh, Yuuichi Kobayashi, Masatoshi Sekine (Tokyo University of Agr and Tech.) CAS2009-66
Self-Organizing Map (SOM) is a neural network to get a statistical nature of multidimensional input data by self-organiz... [more] CAS2009-66
pp.13-18
HIP, HCS, MVE, WIT
(2nd)
2009-12-10
- 2009-12-12
Hokkaido Sappolo Convention Center Proposal and evaluation of prediction method for readability of Web articles with Self-Organizing Maps
Chihiro Ariga, Kazuhiro Notomi (Kanagawa Institute of Technology), Keiichi Saito (Tokyo Denki Univ)
In this article, we proposed and evaluated a prediction method for readability of Web articles with Self-Organizing Maps... [more]
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
CAS, CS, SIP 2009-03-03
13:10
Gifu Nagaragawa Convention Center [Poster Presentation] A Study on WindForecast using Self-Organizing Map with which the Power Assist Type Wind Power Generator is Concerned
Asuka Kobayashi, Yasuaki Sumi (TUES), Takuya Ueta, Seiichiro Fujimatsu (VEGA Systems Inc.), Fukuya Namba (Tottori Univ. of Envi-ronmental Studies,), Noboru Yabuki (Tsuyama National College of Tec.), Takao Tsukutani (Tsuyama National Coll. of Tech.) CAS2008-131 SIP2008-194 CS2008-105
There is wind power generation as one of the methods using new energy. It is paid attention as no worry of the dryness o... [more] CAS2008-131 SIP2008-194 CS2008-105
pp.171-175
NLP 2009-02-28
13:40
Kanagawa   An Estimation Method of Metacognition with Fractal Dimensions
Shuhei Nishida (Nagaoka Univ. of Tech.), Toshio Hatada (JECC Co.), Masahiro Nakagawa (Nagaoka Univ. of Tech.) NLP2008-141
Metacognition is one of important topics in educational engineering. In this research, “Metacognitive monitoring activit... [more] NLP2008-141
pp.55-60
IE, ITS, ITE-HI, ITE-ME, ITE-AIT 2009-02-05
16:10
Hokkaido Graduate School of Information Science and Technology Hokkaido Univ Image Segmentation Based on Color Quantization Using Self-Organizing Map
Shota Izumi, Akihiro Tabata, Junji Maeda (Muroran Inst. of Tech.) ITS2008-77 IE2008-247
This paper presents the color quantization of an image using a self-organizing map (SOM) and image segmentation.
We tr... [more]
ITS2008-77 IE2008-247
pp.245-250
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