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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| NC | 2015-01-29 16:05 |
Fukuoka | Kyushu Institute of Technology | Robustness of Tensor SOM for Missing Data Yasuhiro Wakita, Toru Iwasaki, Tetsuo Furukawa (Kyutech) NC2014-61 |
Tensor SOM is an extension of the self-organizing map (SOM), which enables us to visualize simultaneous visualization of... [more] | NC2014-61 pp.21-26 |
| 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 |
| EMM, EA | 2014-11-20 16:30 |
Fukuoka | Bit-error-tolerant quantizer based on self organizing map Akinori Ito (Tohoku Univ.) EA2014-31 EMM2014-59 |
Bit errors cannot be avoided when communicating using a digital channel. Packet-based communication abodons the packets ... [more] | EA2014-31 EMM2014-59 pp.19-24 |
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| 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 |
| CQ, MVE, IE, IMQ, CEA (Joint) [detail] |
2014-03-06 12:05 |
Oita | Beppu International Convention Center | Object detection based on the shape model generation from contours Atsuhiro Eguchi, Kota Aoki, Hiroshi Nagahashi (Tokyo Tech) IMQ2013-36 IE2013-145 MVE2013-74 |
In this paper, we propose a method for object detection from an image. Automatic detection of objects from an image, is ... [more] | IMQ2013-36 IE2013-145 MVE2013-74 pp.65-70 |
| IPSJ-SLDM, CPSY, RECONF, VLD [detail] | 2014-01-28 16:55 |
Kanagawa | Hiyoshi Campus, Keio University | An Image Recognition System with Multi-Resolutional Feature Learning on the 3D FPGA-Array "Vocalise" Baku Ogasawara, Satoru Yokota, Jiang Li, Yusuke Atsumari, Hiromasa Kubo, Masatoshi Sekine (TUAT) VLD2013-116 CPSY2013-87 RECONF2013-70 |
We propose and develop "an image recognition system" with multi-resolutional feature learning function. The feature lear... [more] | VLD2013-116 CPSY2013-87 RECONF2013-70 pp.85-90 |
| MI | 2014-01-26 15:15 |
Okinawa | Bunka Tenbusu Kan | Area- and Angle-preserving Projection of Tissue Surface Model onto Target Surface Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji (Kyushu Univ.), Yasushi Miyagi (Kaizuka Hospital), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2013-82 |
This paper proposes a new method for mapping a tissue surface model onto a target surface while preserving geometrical f... [more] | MI2013-82 pp.143-148 |
| NC | 2014-01-21 10:25 |
Fukuoka | Kyusyu Institute of Technology | Development of the search system using Self-Organizing Map. Yoshifumi Kinoshita, Hiroshi Dozono (Saga Univ.) NC2013-78 |
As the popularization of internet connections, it becomes easy to retrieve the information from internet. However, it is... [more] | NC2013-78 pp.67-72 |
| NC, MBE (Joint) |
2013-07-20 09:55 |
Tokushima | The University of Tokushima | Individual visualization of lifestyle pattern by SOM2 with class estimation Hideaki Ishibashi, Toru Iwasaki, Keiichi Horio (Kyushu Inst. of Tech.), Hideyuki Namba (Wayo Women's Univ), Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-20 |
To decrease the risk of lifestyle-related deseases, it is important to recognize the life pattern such as exercise and s... [more] | NC2013-20 pp.29-34 |
| MI | 2013-07-18 14:55 |
Miyagi | Mapping of Brain Surface Mesh Model onto Arbitrary Closed Surface Shoko Miyauchi, Ken'ichi Morooka (Kyushu Univ.), Yasushi Miyagi (Kaizuka Hospital), Takaichi Fukuda (Kumamoto Univ.), Tokuo Tsuji, Ryo Kurazume (Kyushu Univ.) MI2013-26 |
This paper proposes a new method for mapping tissue surface model onto arbitrary target surface while preserving the ge... [more] |
MI2013-26 pp.39-44 |
|
| 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 |
| NC, IPSJ-BIO | 2013-06-27 16:35 |
Okinawa | Okinawa Institute of Science and Technology | The wing shape analysis of Mars aircraft by SOM-based shape space method Kyouhei Itonaga (Kyushu Inst. of Tech.), Sho Yakushiji (CALACULU Inc.), Akira Oyama (JAXA), Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-3 |
The purpose of this paper is to analyze the wing shapes for Mars exploration aircraft by using the shape space method ba... [more] | NC2013-3 pp.35-40 |
| MBE, NC (Joint) |
2013-03-13 15:10 |
Tokyo | Tamagawa University | Correspondence of Different Self-Organizing Map and its Application to Learning Evaluation Shigehiro Ohhara, Sumio Watanabe (Tokyo Inst. of Tech.) NC2012-149 |
Several artificianl neural networks, which were devised by imitating biological neural networks, are now being used as l... [more] | NC2012-149 pp.89-94 |
| MBE, NC (Joint) |
2013-03-14 14:05 |
Tokyo | Tamagawa University | Signal Analysis towards BCI by Recurrent Self Organizing Map Yuuma Kino, Yukari Yamauchi (Nihon Univ.) NC2012-162 |
Recurrent Self-Organizing Map: RSOM has been proposed by Markus． Clustering of time series signal is available at RSOM．... [more] | NC2012-162 pp.163-166 |
| MBE, NC (Joint) |
2013-03-15 14:10 |
Tokyo | Tamagawa University | A Proposal of Similarity-Based Self-Organizing Map Masaya Nakakura, Yukari Yamauchi (Nihon Univ) NC2012-178 |
The Haraguchi and others suggested Lazy Self-organizing Map which applied the world of the ant to Self-organizing Map. I... [more] | NC2012-178 pp.255-260 |
| MBE, NC (Joint) |
2013-03-15 14:35 |
Tokyo | Tamagawa University | Structuralization of Acoustic Signal using Multi-Resolution SOM Koichiro Karasuda, Susumu Kuroyanagi (Nagoya Inst. of Tech.) NC2012-179 |
In general pattern recognition for acoustic signals, a single spectrum pattern is used as feature vector in many cases. ... [more] | NC2012-179 pp.261-266 |
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