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All Technical Committee Conferences (Searched in: All Years)
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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| PRMU, HIP |
2006-01-20
16:25 |
Osaka |
Osaka Univ. |
A New Discrete Clustering Method Based on the Clustering Method Dynamic Coalesence Model
Takeshi Kaita (Osshima Col.), Hideo Kitajima, Miki Haseyama (Hokkaido Univ.), Shingo Tomita (Shobi Univ.), Junkichi Yamanaka (Osshima Col.) |
We propose a new discrete clustering method based on concept of the field. It is supposed that a point in a feature spac... [more] |
PRMU2005-176 HIP2005-146
pp.159-164 |
| SIP, WBS |
2005-07-15
14:55 |
Ehime |
Ehime Univ. |
*
Takeshi Kaita (Oshima Col.), Hideo Kitajima, Miki Haseyama (Hokkaido Univ.), Shingo Tomita (Shobi Univ.), Junkichi Yamanaka (Oshima Col.) |
A new discrete clustering method is proposed. Its procedure is as follows. First, transpose feature space into discrete ... [more] |
SIP2005-70 WBS2005-28
pp.39-44 |
| PRMU, TL |
2005-03-17
09:15 |
Akita |
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Pattern Recognition by Higher-Order Neural Network
Takeshi Kaita (Hokkaido Univ., Oshima Col.), Hideo Kitajima, Miki Haseyama (Hokkaido Univ.), Shingo Tomita (Shobi Gakuen Univ.), Junkichi Yamanaka (Oshima Col.) |
In this paper, systems to recognize patterns expressed by binary point distributions are proposed. The feature extractor... [more] |
TL2004-45 PRMU2004-213
pp.7-12 |
| KBSE |
2005-03-14
13:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Analysis of the Clustering Method DCM
Takeshi Kaita (Hokkaido Univ., Oshima Col.), Hideo Kitajima, Miki Haseyama (Hokkaido Univ.), Shingo Tomita (Shobi Gakuen Univ.), Junkichi Yamanaka (Oshima Col.) |
The clustering method Dynamic Coalescence Model (DCM) is analyzed by filtering theory in this paper. Any point, that exp... [more] |
KBSE2004-50
pp.31-36 |
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