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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 55  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SANE 2024-01-19
13:25
Miyagi
(Primary: On-site, Secondary: Online)
Development of Riemannian Quaternion Self-Organizing Map and Its Application in Full-Polarimetric GPR Landmine Detection
Yicheng Song, Ryo Natsuaki, Akira Hirose (UTokyo) SANE2023-97
Ground penetrating radar (GPR) based landmine detection has advantages such as high safety and high efficiency. There ar... [more] SANE2023-97
pp.41-46
RISING
(3rd)
2022-10-31
15:00
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Cache Scheme Using Different Initial Placement Multiple Self-organizing Maps in Information-centric Networking
Kei Yamashiro, Minami Kotake, Takashi Nishitsuji, Takuya Asaka (TMU)
Information Centric Networking (ICN) has been proposed to revolutionize the traditional Internet architecture. In ICN, c... [more]
NC, MBE
(Joint)
2021-03-05
13:50
Online Online DCSOM with Ensemble Learning Classifier
Akito Takahashi, Yukari Yamauchi (Nihon Univ) NC2020-71
Deep Convolutional Self-Organizing Map (DCSOM) which extracts visual features from images by using self-organizing maps ... [more] NC2020-71
pp.163-168
SIS 2020-12-01
14:25
Online Online Interpretability of deep neural networks with self-organizing map modules.
Takahiro Sono, Keiichi Horio (KIT) SIS2020-32
In recent years, the technology of neural networks has made great progress due to the improvement of computational power... [more] SIS2020-32
pp.27-30
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-30
15:45
Online Online A Proposal of Self-Organizing Map Based on Attribute Information with Attenuate Rate
Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2020-23
Self-organizing Maps(SOM) is a simple algorithm, has excellent clustering capabilities, and can create a nonlinear model... [more] NC2020-23
pp.77-82
NC, MBE
(Joint)
2020-03-05
13:50
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
A Proposal of Self-Organizing Maps Based on Learning with Attribute Information
Tetsuya Sato, Yukari Yamauti (Nihon Univ.) NC2019-96
Self-organizing maps(SOM) is a simple algorithm, and has excellent clustering capabilities. However, since SOM performs ... [more] NC2019-96
pp.119-124
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.) MBE2019-41 NC2019-32
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) IA2019-8 ICSS2019-8
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
SIS 2018-12-06
14:50
Yamaguchi Hagi Civic Center Multi-View Analysis for Conditions of Players in Team Sports
Haruka Kondo (Kyushu Inst. of Tech.), Masaki Iwasaaki (BraTech Co., Ltd.), Hirohisa Isogai (BAS Lab.), Tetsuo Furukawa, Keiichi Horio (Kyushu Inst. of Tech.) SIS2018-26
In this study, an estimation of an optimal psychological state for each player is achieved to improve the performances o... [more] SIS2018-26
pp.25-29
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) NS2018-140
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
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
SIS 2017-03-03
11:40
Kanagawa Kanagawa Inst. Tech. Yokohama Office Hardware implementation of deep neural networks composed of self-organizing maps
Yuichiro Tanaka, Hakaru Tamukoh (KIT) SIS2016-60
In this research, we aim to implement deep neural networks (DNNs) composed of self-organizing maps into field programmab... [more] SIS2016-60
pp.101-106
NLP 2016-12-12
15:25
Aichi Chukyo Univ. Visualization and Classification by ElasticSOM
Yuto Take, Pitoyo Hartono (Chukyo Univ.) NLP2016-89
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
MI 2016-07-26
14:55
Hokkaido Tomakomai Civic Hall A Method for Mapping Organ Volume Model with Internal Structure onto Target Volume
Shoko Miyauchi, Ken'ichi Morooka (Kyushu Univ.), Tokuo Tsuji (Kanazawa Univ.), Yasushi Miyagi (Fukuoka Mirai Hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2016-45
This paper proposes a new method for mapping a volume model of an organ with internal structures to a target volume with... [more] MI2016-45
pp.49-54
MI 2016-01-20
13:50
Okinawa Bunka Tenbusu Kan Tissue Volume Model Mapping onto Target Volume Based on modified Self-organizing Deformable Model
Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji (Kyushu Univ.), Yasushi Miyagi (Kaizuka hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2015-135
This paper proposes a new method for mapping volume models of human tissues onto a target volume with simple shape. The ... [more] MI2015-135
pp.305-308
NC, MBE 2015-03-16
13:35
Tokyo Tamagawa University Window Size Optimization in a Millimeter-wave Active Imaging System Using Complex-Valued Self-Organizing Map
Yuya Arima, Akira Hirose (Univ. Tokyo) MBE2014-164 NC2014-115
Millimeter-wave possesses high penetrability and high directivity. In security imaging, we use these features to discove... [more] MBE2014-164 NC2014-115
pp.265-270
MW, ED 2015-01-15
14:15
Tokyo Kikai-Shinko-Kaikan Bldg. Millimeter-wave Active Imaging Using Multiple Frequencies with Complex-Valued Self-Organizing Map Image Processing
Yuya Arima, Akira Hirose (Univ. Tokyo) ED2014-118 MW2014-182
Millimeter-wave possesses high penetrability and high directivity. In security imaging, we use these features to discove... [more] ED2014-118 MW2014-182
pp.7-11
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
SIP, CAS, MSS, VLD 2013-07-11
18:00
Kumamoto Kumamoto Univ. SOM Based FPGA Placement Method Considering Wire Segment Length
Tetsuro Hamada, Motoki Amagasaki, Masahiro Iida, Morihiro Kuga, Toshinori Sueyoshi (Kumamoto Univ.) CAS2013-16 VLD2013-26 SIP2013-46 MSS2013-16
A placement process is one of the heavily computational process in FPGA(Field Programmable Gate Array) design flow.
Al... [more]
CAS2013-16 VLD2013-26 SIP2013-46 MSS2013-16
pp.83-88
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