Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2008-03-28 10:25 |
Hyogo |
|
Lazy Self-Organizing Map for Effective Self-Organization Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2007-168 |
The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visualization introduced by Teuvo ... [more] |
NLP2007-168 pp.7-12 |
NC, MBE (Joint) |
2008-03-14 15:30 |
Tokyo |
Tamagawa Univ |
Growing self-organizing map using input history Yuichi Sato, Kazushi Murakoshi (Toyohashi Univ. Tech.) NC2007-198 |
The Self-organizing map (SOM) has two problems on its learning.
One problem is that the SOM is dependent on the settin... [more] |
NC2007-198 pp.507-512 |
CS, SIP, CAS |
2008-03-06 14:45 |
Yamaguchi |
Yamaguchi University |
Introduce Batch-Learning Algorithm into the Contour Extraction Method DCDAM using Self-Organizing Map Fukuya Namba (Tottori Univ. of Environmental Studies), Takuya Ueta (GALAXY Inc.), Yasuaki Sumi (Tottori Univ. of Environmental Studies), Noboru Yabuki (Tsuyama National College of Tech.), Takao Tsukutani (Matsue National College of Tech.) CAS2007-121 SIP2007-196 CS2007-86 |
In this paper, we proposed the new contour line extraction method BL-DCDAM introduced the Batch-Learning SOM algorithm i... [more] |
CAS2007-121 SIP2007-196 CS2007-86 pp.75-80 |
NC |
2008-01-16 11:40 |
Hokkaido |
Centennial Hall, Hokkaido Univ. |
FPGA Implementation of SOM2 Architecture Takayuki Ono, Toshiyasu Tanaka (KIT), Hakaru Tamukoh (Agriculture and Technology Univ), Tetsuo Furukawa (KIT) NC2007-103 |
The SOM$^n$ is the higher-rank of Self-Organizing Map(SOM) which organizes a map from data space to a product space of t... [more] |
NC2007-103 pp.97-102 |
NC |
2008-01-16 13:30 |
Hokkaido |
Centennial Hall, Hokkaido Univ. |
The Proposal of Adaptive Tree Structured SOM and Its Application for Image Classification Ichiro Sudo, Tomomi Yuno, Hakaru Tamukoh, Masatoshi Sekine (TAT) NC2007-105 |
Generally, Standard-SOM or Tree Structured-SOM are not able to adapt in input data which has changed widely toward time'... [more] |
NC2007-105 pp.109-114 |
MBE, NC (Joint) |
2007-12-22 12:05 |
Aichi |
|
Research on Face authentication in Moving Image that used Self-Organizing Map Circuit Tomomi Yuno, Ichiro Sudo, Hakaru Tamukoh, Masatoshi Sekine (Agriculture and Technology Univ) NC2007-78 |
In this paper, we describe an image recognition system using a Self-Organizing Map (SOM) circuit.
First, we extract a f... [more] |
NC2007-78 pp.43-48 |
NLP |
2007-12-20 14:15 |
Fukui |
|
A Method for solving Asymmetric Traveling Salesman Problems using Block Shift Operations and Point Classification by Self-organizing Maps Toshihiro Tachibana, Masaharu Adachi (Tokyo Denki Univ.) NLP2007-127 |
In this report, an improved method for solving Asymmetric Travelling Salesman Problems (ATSP) is proposed. Where the asy... [more] |
NLP2007-127 pp.35-40 |
MVE, PRMU |
2007-11-29 11:30 |
Ehime |
Ehime University |
Improvement in Robustness of Vision-based Real-time Human Posture Analysis Using Incremental Learnable Self-Organizing Map Atsushi Shimada, Madoka Kanouchi (Kyushu Univ.), Daisaku Arita (ISIT), Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2007-129 MVE2007-62 |
e propose an approach to improve the accuracy of estimating feature points of human body on a vision-based motion captur... [more] |
PRMU2007-129 MVE2007-62 pp.13-18 |
NC |
2007-11-19 13:25 |
Saga |
Saga Univ. |
A Moving Image Generation Based on Sequential Backward Projection in Self-Organizing Map Takahiro Ishiguma, Hiroshi Wakuya (Saga Univ.) NC2007-68 |
A self-organizing map (SOM) is a topology-preserving projector between the input and the competitive layers. Recently, a... [more] |
NC2007-68 pp.77-82 |
NLP |
2007-06-08 15:40 |
Hiroshima |
|
Embedding High-Dimensional Data in Low-Dimensional Space by a Stochastic Method Naoto Nishikawa, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007-17 |
The stochastic proximity embedding (SPE) is a method of data visualization in the research area of data mining.SPE can e... [more] |
NLP2007-17 pp.35-40 |
NC |
2007-03-15 09:50 |
Tokyo |
Tamagawa University |
Fusion of ART and SOM and its engineering application potential Masaru Takanashi, Hiroyuki Torikai, Toshimichi Saito (Hosei Univ.) |
This paper considers fusion of Self-Organizing Maps (SOM) and Adaptive Resonance Theory (ART) network and its engineerin... [more] |
NC2006-170 pp.99-104 |
NC |
2007-03-16 14:00 |
Tokyo |
Tamagawa University |
An Application to Pattern Generation Based on Backward Projection of Self-Organized Feature Map
-- In the Case of Face Mark 'Emoticon' -- Takahiro Ishiguma, Hiroshi Wakuya (Saga Univ) |
A major feature of the self-organizing map (SOM) is a topology-preserving
projection between the input and competitive... [more] |
NC2006-209 pp.125-129 |
SIP, CAS, CS |
2007-03-06 12:55 |
Tottori |
Blancart Misasa (Tottori) |
Application of Self-Organizing Map in Plethysmogram Analysis
-- Consideration of Learning Conditions -- Shinya Urase, Nobuaki Nousou (Tottori Univ.), Yoshio Maniwa (Futaba Clinic), Kikuo Fujimura, Isao Nakanishi, Yutaka Fukui (Tottori Univ.) CAS2006-107 SIP2006-208 CS2006-124 |
The plethysmogram can be detected without stress in a short time by using a finger tip sensor. Above all, it is very int... [more] |
CAS2006-107 SIP2006-208 CS2006-124 pp.69-74 |
ITE-ME, ITS, IE, ITE-HI, ITE-AIT |
2007-02-22 11:15 |
Hokkaido |
Hokkaido University |
Image Segmentation Based on Color Quantization Using Hierarchical Self-Organization Map Hiroyuki Furukawa, Masayuki Matsunaga, Junji Maeda (Muroran IT) |
This paper presents the color quantization using a self-organizing map (SOM) and image segmentation. We try to implement... [more] |
ITS2006-46 IE2006-231 pp.17-22 |
NC |
2007-01-26 12:00 |
Hokkaido |
Noboribetsu Manseikaku(Noboribetsu) |
Development of Self-organizing Parallel Processing Method based on modular network SOM Seiya Hayashida, Kazuhiro Tokunaga, Tetsuo Furukawa (KIT) |
This paper aims to develop a novel style of parallel processing method based on self-organizing map (SOM) with modular n... [more] |
NC2006-107 pp.41-46 |
NC |
2007-01-26 13:30 |
Hokkaido |
Noboribetsu Manseikaku(Noboribetsu) |
Image Segmentation Using Color Quantization By Self-Organizing Map Masayuki Matsunaga, Junji Maeda (Muroran I.T.) |
This paper presents the color quantization using a self-organizing map (SOM) and image segmentation.We try to implement ... [more] |
NC2006-108 pp.47-52 |
PRMU |
2007-01-18 16:45 |
Kyoto |
|
The Method to Describe Image by Low Dimension using the Center of Clusters on Self-Organizing Map Ichiro Sudo, Tomomi Yuno, Masatoshi Yokokawa, Kenji Kudo, Masatoshi Sekine (TUAT) |
We proposes the method of expressing the low level of the image that uses clustering by Self Organization Map (SOM) and ... [more] |
PRMU2006-193 pp.61-66 |
MVE, IE |
2006-07-14 10:50 |
Ishikawa |
Kanazawa University |
Winter Season Cloud Classification Using Self-Organizing Map Tuomas Karna (Helsinki Univ. of Tech./Kanazawa Univ), Mamoru Kubo, Ken-ichiro Muramoto (Kanazawa Univ) |
This paper introduces a method for cloud classification using NOAA AVHRR satellite images. AVHRR (Advanced Very High Res... [more] |
IE2006-29 MVE2006-35 pp.11-15 |
ET |
2005-01-28 13:35 |
Hokkaido |
|
Lecture Video Sammary using Self-Organizing Map Minoru Nakayama (Tokyo Tech.), Takahiro Yonekawa (HUB Networks), Yasutaka Shimizu (NIME) |
This report describes feasibility that scene thumbnail images of lecture video can be summarized using Self-Organizing M... [more] |
ET2004-96 pp.7-12 |
NLP |
2005-01-24 14:50 |
Kagawa |
Kagawa Univ. |
Environment recognition method for autonomous mobile robot by using the Self-Organizing Map Mitsuru Nakagawa, Hiroomi Hikawa, (Oita Univ.) |
This paper discuses the location recognition of the autonomous mobile robot by using Self-Organizing Map (SOM). Directio... [more] |
NLP2004-92 pp.21-26 |