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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 60 [Previous]  /   
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
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