Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, CCS |
2018-06-10 09:30 |
Kyoto |
Kyoto Terrsa |
Performance Analysis of a Coherent Ising Machine with Hardware Constraints Hirotake Ito, Yukio Murata (TUS), Hiroki Takesue (NTT), Kazuyuki Aihara (TU), Mikio Hasegawa (TUS) NLP2018-39 CCS2018-12 |
A fast solution method of combinational optimization problem using a Coherent Ising Machine has been developed. A method... [more] |
NLP2018-39 CCS2018-12 pp.63-68 |
RECONF, CPSY, DC, IPSJ-ARC (Joint) [detail] |
2017-05-23 15:10 |
Hokkaido |
Noboribetsu-Onsen Dai-ichi-Takimoto-Kan |
CPSY2017-4 DC2017-4 RECONF2017-21 |
A CMOS Ising Computing based on Ising model, which effectively solves combinational optimization problems necessary for ... [more] |
CPSY2017-4 DC2017-4 RECONF2017-21 pp.15-20(CPSY), pp.15-20(DC), pp.111-116(RECONF) |
NLP |
2013-07-08 11:15 |
Okinawa |
Miyako Island Marine Terminal |
Basic performances in a discrete PSO with an intermittent refractoriness Yoshihiko Hayakawa, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-29 |
This paper proposes a discrete particle swarm optimization algorithm
consisting of particles with an intermittent refr... [more] |
NLP2013-29 pp.15-19 |
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2012-11-27 09:00 |
Fukuoka |
Centennial Hall Kyushu University School of Medicine |
A Method to Parallelize Simulated Annealing Algorithm by Generating Look-ahead Neighbor Solutions Yusuke Ota, Kazuhito Ito (Saitama Univ.) VLD2012-73 DC2012-39 |
Simulated annealing (SA) is a general method to solve combinational optimization problems. SA generates a neigh¬bor solu... [more] |
VLD2012-73 DC2012-39 pp.81-86 |
COMP |
2009-10-16 10:00 |
Miyagi |
Tohoku University |
On simultaneous optimal segmentation of digital objects Jinhee Chun, Ryosei Kasai, Matias Korman, Takeshi Tokuyama (Tohoku Univ.) COMP2009-32 |
Motivated from the image segmentation problem, we consider the problem of finding the maximum weight region with a shape... [more] |
COMP2009-32 pp.1-8 |
COMP |
2009-06-29 13:30 |
Hokkaido |
Hokkaido University |
Algorithms for optimal segmentation of regions decomposable into basic shapes Ryosei Kasai, Jinhee Chun, Matias Korman, Takeshi Tokuyama (Tohoku Univ.) COMP2009-21 |
We consider optimal segmentation problem of a shape decomposable into elementary shapes in $n \times n$ pixel grid.
We... [more] |
COMP2009-21 pp.23-30 |
AI, IPSJ-ICS, JSAI-KBS |
2009-03-04 11:50 |
Miyagi |
Laforet Zao Resort & Spa |
Solving Puzzle with Neural Network
-- Hopfield Network can Solve Sudoku -- Akihiro Ohtani, Satoshi Matsuda (Nihon Univ) AI2008-88 |
We show that Hopfield network can solve all the Sudoku puzzles we have attacked so far. Most of them are very difficult ... [more] |
AI2008-88 pp.141-146 |
ET |
2008-10-17 15:55 |
Okayama |
|
A Proposal of An Optimal Assignment Algorithm for General Academic Tomoya Shoji, Hiroki Fujii, Kanako Uemura, Hiroki Kawano, Nobuo Funabiki, Toru Nakanishi (Okayama Univ.) ET2008-48 |
Currently, general academic subjects in Okayama University consist of four categories, namely, “main subjects”, “individ... [more] |
ET2008-48 pp.51-56 |
NS, ICM, CQ (Joint) |
2007-11-16 08:50 |
Fukuoka |
Institute of System LSI Design Industry, Fukuoka |
A Fiber Allocation Search Algorithm for a Demand Expansion Term of Optical Network Services Masaya Shibaki, Shunsuke Kanai, Tatsuru Kawano, Tsutomu Maruyama (NTT) TM2007-36 |
We develop an Operation Support System (OSS) for provide optical access networks (OANs) Service quickly. This Ops condit... [more] |
TM2007-36 pp.13-18 |
NC |
2007-06-15 13:00 |
Okinawa |
OIST Seaside House |
Solving Sudoku Puzzle with Hopfield Network Akihiro Ohtani, Satoshi Matsuda (Nichi Univ) NC2007-20 |
Based on the insight that all the intellectual activities of human beings are carried out as optimization process, we al... [more] |
NC2007-20 pp.69-74 |