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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 12件中 1~12件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC 2019-10-12
10:50
Miyagi   An Optimization for Classification by Self-Organizing Maps Based on Attribute Information
Tetsuya Sato (Nihon Univ.), Kazuma Tsuchida (STUDIO ONE OR EIGHT), Yukari Yamauti (Nihon Univ.)
Self-Organizing Map (SOM) is a simple algorithm that has excellent clustering capabilities and adapts continuous changes... [more] MBE2019-41 NC2019-32
pp.59-63
IA, ICSS 2019-06-07
11:20
Miyagi Research Institute for Electrical Communication, Tohoku University Development of System to Analyze Aggressive Communication Using Self-Organizing Map and Convolutional Neural Network
Akifumi Iwasa, Hikofumi Suzuki, Takumi Uchiyama (Shinshu Univ.), Tetsuya ui (NEC)
In recent years, the importance of the Internet is increasing. However, DoS / DDoS attacks is increasing. It is difficul... [more] IA2019-8 ICSS2019-8
pp.37-41
CQ, ICM, NS, NV
(Joint)
2018-11-16
09:15
Ishikawa   Development of System to Analyze Advanced Attacks Using Self-Organizing Map
Akifumi Iwasa, Hikohmi Suzuki (Shinshu Univ.), Tetsuya Ui (NEC)
In recent years, the importance of the Internet is increasing. However, DoS / DDoS attacks is increasing. It is difficul... [more] NS2018-140
pp.57-61
NLP 2016-12-12
15:25
Aichi Chukyo Univ. Visualization and Classification by ElasticSOM
Yuto Take, Pitoyo Hartono (Chukyo Univ.)
Due to its simplicity, Self-Organizing Maps(SOM) are often utilized to visualize high dimensional data. While SOM is abl... [more] NLP2016-89
pp.27-32
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)
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.)
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
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)
2012-03-15
14:10
Tokyo Tamagawa University Comprehensive Understanding of Self-Oragnizing Map and Generative Topographic Mapping
Satoshi Matsushita, Tetsuo Furukawa (Kyutech)
The purpose of this paper is to find out the comprehensive understanding
of the representative topographic mappings, i... [more]
NC2011-165
pp.257-262
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.)
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
NLP 2007-12-20
14:15
Fukui   A Method for solving Asymmetric Traveling Salesman Problems using Block Shift Operations and Point Classification by Self-organizing Maps
Toshihiro Tachibana, Masaharu Adachi (Tokyo Denki Univ.)
In this report, an improved method for solving Asymmetric Travelling Salesman Problems (ATSP) is proposed. Where the asy... [more] NLP2007-127
pp.35-40
NC 2007-03-15
09:50
Tokyo Tamagawa University Fusion of ART and SOM and its engineering application potential
Masaru Takanashi, Hiroyuki Torikai, Toshimichi Saito (Hosei Univ.)
This paper considers fusion of Self-Organizing Maps (SOM) and Adaptive Resonance Theory (ART) network and its engineerin... [more] NC2006-170
pp.99-104
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