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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
COMP, IPSJ-AL 2021-05-08
11:00
Online Online An Extension of Cartesian Tree Matching Based-on Subsequences
Takeshi Kai, Kenta Mitsuyoshi, Isamu Furuya, Hiroki Arimura (Hokkaido Univ.) COMP2021-6
In this paper, we consider the Cartesian tree matching problem, originally introduced by Park et al. in 2019. Despite of... [more] COMP2021-6
pp.39-45
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2012-02-20
10:00
Hokkaido Hokkaido Univ. On Speeding Up of the Dynamic Coalescence Model
Takeshi Kaita (Oshima C.), Miki Haseyama, Hideo Kitajima (Hokkaido Univ.), Shingo Tomita (Yamaguchi Univ.) ITS2011-29 IE2011-105
 [more] ITS2011-29 IE2011-105
pp.11-14
LQE, LSJ 2011-05-20
16:05
Ishikawa Kanazawa Univ. (Natural Sci. Tech. Main Bldg.) Imaging of femtosecond laser ablation process by using coherent soft X-ray
Takuro Tomita (Tokushima Univ.), Kota Terakawa (ISSP, Univ. of Tokyo), Minoru Yamamoto (Tokushima Univ.), Noboru Hasegawa (JAEA), Yasuo Minami (ISSP, Univ. of Tokyo), Masaharu Nishikino, Yoshihiro Ochi, Takeshi Kaihori, Tetsuya Kawachi, Mitsuru Yamagiwa (JAEA), Tohru Suemoto (ISSP, Univ. of Tokyo) LQE2011-13
We report the result of the time-resolved imaging of femtosecond laser ablation process by using the short pulsed cohere... [more] LQE2011-13
pp.53-57
MVE, PRMU 2007-11-29
10:30
Ehime Ehime University Finding Representative of Cluster at Invariant Location by Discretized Clustering Method Dynamic Coalescence Model
Takeshi Kaita (Oshima College), Hideo Kitajima, Miki Haseyama (Hokkaido Univ.), Shingo Tomita PRMU2007-127 MVE2007-60
We propose a discreted clustering method that founds representative of cluster found by the clustering method Dynamic Co... [more] PRMU2007-127 MVE2007-60
pp.1-6
MVE, PRMU 2007-11-29
11:00
Ehime Ehime University An Improved Third-order Discrimination System for Two-dimensional Point Distribution Using Its Topology and Similar Distribution Estimated Statistically
Takeshi Kaita (Oshima College), Hideo Kitajima, Miki Haseyama (Hokkaido Univ.), Shingo Tomita PRMU2007-128 MVE2007-61
We propose an improved third-order system for the discrimination of two-dimensional point distributions. This has traini... [more] PRMU2007-128 MVE2007-61
pp.7-12
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   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
 Results 1 - 9 of 9  /   
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