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] |
|
MBE, NC (Joint) |
2022-03-02 09:30 |
Online |
Online |
A Study on Improvement of Recognition Accuracy and Speed-up of SOM-based Classification System Shun Tasaka, Hiroomi Hikawa (Kansai Univ.) NC2021-46 |
This paper discusses a new type of image classifier called class-SOM, which is based on self-organizing map (SOM).
The... [more] |
NC2021-46 pp.1-4 |
MBE, NC (Joint) |
2022-03-02 15:45 |
Online |
Online |
NC2021-57 |
We propose a polarimetric remote sensing system to classify daily movements of humans such as walking and standing. We e... [more] |
NC2021-57 pp.56-61 |
IBISML |
2022-01-18 15:20 |
Online |
Online |
Determining the number of clusters using the shrinking maximum likelihood self-organizing map Ryosuke Motegi, Yoichi Seki (Gunma Univ.) IBISML2021-29 |
Determining the number of clusters is one of the major challenges in clustering. The conventional method, such as the Ex... [more] |
IBISML2021-29 pp.81-87 |
SIS |
2021-03-05 10:50 |
Online |
Online |
A trial of quantitative evaluation focused on area change in self-organizing map Yuto Nakashima, Hiroshi Wakuya (Saga Univ.), Fukuko Moriya (Kurume Univ.), Kaoru Araki, Hideaki Itoh (Saga Univ.) SIS2020-56 |
A self-organizing map (SOM) is one of the AI techniques to visualize an applied multi-dimensional data set onto the two-... [more] |
SIS2020-56 pp.114-119 |
NC, MBE (Joint) |
2021-03-04 16:25 |
Online |
Online |
Hierarchical Feature Extraction for Dynamic Q-Network Taishi Komatsu, Yukari Yamauchi (Nihon Univ.) NC2020-62 |
Recently, Convolutional Neural Networks (CNN), which have been successful in the field of image recognition, use a hiera... [more] |
NC2020-62 pp.112-116 |
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 |
NLP |
2020-05-15 11:25 |
Online |
Online |
Facial Expression Recognition by a Neural Network Inspired from Processing between the Visual Cortex and Amygdala Daiki Yoshihara, Toshikazu Samura (Yamaguchi Univ.) NLP2020-2 |
Facial expressions are important to communication. The visual cortex and amygdala are involved in the recognition of fac... [more] |
NLP2020-2 pp.7-10 |
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 |
NC, MBE (Joint) |
2020-03-06 14:55 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Efficient cluster mapping for conditions of weather based on combination of self-organizing map and hierarchical clustering Kazuki Osawa, Keiji Kamei (NIT), Masumi Ishikawa (KIT) NC2019-113 |
Recently, applications of Deep Learning(AI) for solving social problems have been frequently proposed. However, there ar... [more] |
NC2019-113 pp.213-218 |
EMT, IEE-EMT |
2019-11-07 15:15 |
Saga |
Hotel Syunkeiya |
Land classification using unsupervised quaternion neural network with neighbor pixel information Jungmin Song, Ryo Natusaki, Akira Hirose (The Univ. of Tokyo) EMT2019-57 |
(To be available after the conference date) [more] |
EMT2019-57 pp.117-122 |
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 |
NC, MBE (Joint) |
2019-03-04 14:40 |
Tokyo |
University of Electro Communications |
A study of the Multi Resolution CONP using variable time constants for time series signals Haruka Kato, Susumu Kuroyanagi (NIT) NC2018-57 |
Hearing is an important sense for understanding the surrounding environment because it can obtain information from the b... [more] |
NC2018-57 pp.79-84 |
NC, MBE (Joint) |
2019-03-05 15:00 |
Tokyo |
University of Electro Communications |
Application of phase information and complex-valued self-organizing map for C-scan analysis in radar imaging Soshi Shimomura, Akira Hirose (UTokyo) NC2018-69 |
We propose an adaptive subsurface three-dimensional visualization system based on a complex-valued self-organizing map (... [more] |
NC2018-69 pp.133-137 |
HCGSYMPO (2nd) |
|
Mie |
Sinfonia Technology Hibiki Hall Ise |
A SOM-based self-organizing agents
-- Emergence of cooperative and altruistic behavior -- Nobuhito Manome (SoftBank Robotics/The University of Tokyo), Shuji Shinohara (The University of Tokyo), Kouta Suzuki (SoftBank Robotics), Kosuke Tomonaga (SoftBank Robotics/The University of Tokyo), Shunji Mitsuyoshi (The University of Tokyo) |
When someone gets involved in one certain task with others, he will adjust his actions according to not only internal fe... [more] |
|
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 |