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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2018-12-06 15:20 |
Yamaguchi | Hagi Civic Center | [Tutorial Lecture]
Theory and applications of modular network self-organizing map Kazuhiro Tokunaga (NFU)  SIS2018-27 |
A modular network self-organizing map (mnSOM) is an extension and generalization of a Kohonen’s SOM in which each refere... [more] | SIS2018-27 pp.31-36 |
| EMT, IEE-EMT | 2018-11-15 11:40 |
Tottori | Kaike Grand Hotel Tensui(Yonago, Tottori) | 3D ground penetrating radar based on adaptive processing of time-domain phase information by using complex-valued self-organizing map Soshi Shimomura, Akira Hirose (Univ. Tokyo) EMT2018-46 |
We propose an adaptive subsurface 3D visualization system based on a complex-valued self-organizing map (CSOM). Conventi... [more] | EMT2018-46 pp.19-24 |
| 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 |
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| 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 |
| SANE | 2018-05-14 10:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Adaptive processing of time domain information by complex-valued self-organizing map in GPR Soshi Shimomura, Akira Hirose (Tokyo Univ.) SANE2018-2 |
In this technical report, we propose an adaptive subsurface visualization system based on a complex–valued self-organizi... [more] | SANE2018-2 pp.7-11 |
| 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 15:00 |
Fukuoka | Kyushu Institute of Technology | NC2017-54 |
The purpose of this research is to extend Tensor SOM for multi-group analysis. That is, for a set of datasets obatined f... [more] | NC2017-54 pp.23-28 |
| 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 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-23 14:25 |
Okinawa | Okinawa Institute of Science and Technology | Improvement of The Success Rate of Communication based on Implicit Feedbacks Yuki Fumoto (Computer Mind), Takashi Sato (NIT, Okinawa College) NC2017-5 |
There are two types problems that make communication difficult to establish; one is that concepts formed in each individ... [more] | NC2017-5 pp.1-8 |
| 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 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2016-03-07 17:55 |
Okinawa | Generation of grid points for 3D-LUT in device calibration based on color discrimination thresholds Masashi Yamamoto, Jinhui Chao (Chuo Univ.) IMQ2015-50 IE2015-149 MVE2015-77 |
In this paper, we propose a method to generate the grid points of 3D Look-Up Table in a color space for device calibrati... [more] | IMQ2015-50 IE2015-149 MVE2015-77 pp.123-128 |
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| NC, NLP (Joint) |
2016-01-28 14:35 |
Fukuoka | Kyushu Institute of Technology | Effect of grouping in vector recognition system Based on SOM Masayoshi Ohta, Ito Daigo, Hiroomi Hikawa (Kansai Univ.) NC2015-56 |
Abstract This paper discusses effect of grouping based on self-organising map．The SOM is a one of unsupervised learning... [more] |
NC2015-56 pp.1-6 |
| 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 |
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