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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| 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 |
| 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 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2018-05-22 09:30 |
Okinawa | Okinawa Industry Support Center | Clustering of Children Based on Behavior Analysis and Consideration of Individuality Analysis Keiichi Horio, Yuji Watanabe, Tetsuo Furukawa (Kyushu Inst. of Tech.), Takashi Omori (Tamagawa Univ.) HCS2018-13 HIP2018-13 |
In this study, features such as speech, line of sight, response, posture, etc. were extracted from moving images taken b... [more] | HCS2018-13 HIP2018-13 pp.101-106 |
| MBE, NC (Joint) |
2018-03-14 10:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Hierarchical quaternion neural networks with self-organizing codebook for unsupervised PolSAR land classification Hyunsoo Kim, Akira Hirose (Tokyo Univ.) NC2017-88 |
We propose a self-organizing codebook-based hierarchical polarization feature vector generation to realize an unsupervis... [more] | NC2017-88 pp.121-126 |
| MBE, NC, NLP (Joint) |
2018-01-26 15:50 |
Fukuoka | Kyushu Institute of Technology | Restricted Representation for Attentional Items of Feature Map Developed by a Self-Organizing Map Hiroshi Wakuya, Yuukou Tanaka, Hideaki Itoh (Saga Univ.) NC2017-56 |
A self-organizing map (SOM) can be seen as a signal converter preserving its topology between the input and output space... [more] | NC2017-56 pp.35-40 |
| EMT, IEE-EMT | 2017-11-09 10:50 |
Yamagata | Tendo Hotel (Tendo, Yamagata) | Flexible Unsupervised PolSAR Land Classification System Based on Quaternion Neural Networks Hyunsoo Kim, Akira Hirose (Tokyo Univ.) EMT2017-48 |
We propose a flexible unsupervised PolSAR land classification system based on quaternion neural networks. The existing ... [more] | EMT2017-48 pp.37-42 |
| MBE, NC (Joint) |
2017-10-07 15:40 |
Osaka | Osaka Electro-Communication University | Learning Characteristics of Self-Organizing Map with Adaptive Neighborhood Function Hikari Yoshimi, Hidetaka Ito, Hiroomi Hikawa (Kansai Univ.) NC2017-23 |
This paper proposes a new neighborhood function for the self-organizing map(SOM).As the learning of the SOM progresses,... [more] | NC2017-23 pp.19-24 |
| SANE | 2017-10-05 14:20 |
Tokyo | Maison franco - japonaise (Tokyo) | Unsupervised Adaptive PolSAR Land Classification System Using Quaternion Neural Networks Hyunsoo Kim, Akira Hirose (Univ. of Tokyo) SANE2017-57 |
We propose an unsupervised adaptive PolSAR land classification system using quaternion neural networks. Most of the exis... [more] | SANE2017-57 pp.73-78 |
| 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 |
| EMT, IEE-EMT | 2015-10-30 10:25 |
Miyazaki | Holiday Inn ANA Resort Miyazaki | Envelope-detection Millimeter-wave Active Imaging using Complex-Valued Self-Organizing Map Image Processing Yuya Arima, Akira Hirose (Univ. of Tokyo) EMT2015-69 |
Millimeter-wave is the electromagnetic wave having a high directivity and a high penetration into materials such as plas... [more] | EMT2015-69 pp.131-135 |
| MBE, BioX, NC | 2015-10-25 11:30 |
Osaka | Osaka Electro-Communication University | A Study of the Judging Methods using the Machine Learning in Authentication System using the Mouse Operation Trajectory Akito Itakura, Yoshihiro Kita (Tokyo Univ. of Tech.), Mirang Park (Kanagawa Institute of Tech.), Naonobu Okazaki (Univ. of Miyazaki) BioX2015-29 MBE2015-40 NC2015-24 |
The authentication systems using operation trajectory by the mouse are reported. These methods have the low authenticati... [more] | BioX2015-29 MBE2015-40 NC2015-24 pp.43-46 |
| NC, MBE | 2015-03-16 10:30 |
Tokyo | Tamagawa University | Adaptive land classification by two-stage clustering in satellite-borne polarimetric synthetic aperture radar images Yuto Takizawa (UT), Fang Shang (UEC), Akira Hirose (UT) MBE2014-162 NC2014-113 |
We have been investigating possible methods to extract useful information from full polarimetric observation data of syn... [more] | MBE2014-162 NC2014-113 pp.253-258 |
| 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 |
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