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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2012-11-08
15:00		 Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. MCMC Strategy for Protein Complex Prediction Using Cluster Size Frequency
Daisuke Tatsuke, Osamu Maruyama (Kyushu Univ.) IBISML2012-91		 In this paper we propose a Markov chain Monte Carlo sampling method for predicting protein complexes
from protein-prote... [more]		 IBISML2012-91
pp.409-416
NS, IN
(Joint)		 2012-03-08
10:30		 Miyazaki Miyazaki Seagia An Autonomous Decentralized Mechanism for Generating Global Order in a System: Using Metropolis-Hastings Algorithm and Applying Placement Problem of Virtual Machines
Yusuke Sakumoto, Masaki Aida (Tokyo Metropolitan Univ.), Hideyuki Shimonishi (NEC) IN2011-147		 Since an autonomous decentralized mechanism needs not gather information for global state of a system, it has high affin... [more] IN2011-147
pp.61-66
SIS 2010-06-10
15:50		 Hokkaido Abashiri Public Auditorium A Study on Efficient Pedestrian Recognition using Markov Chain Monte Carlo
Jaehoon Yu (Osaka Univ.), Hiroki Sugano, Ryusuke Miyamoto (NAIST), Takao Onoye (Osaka Univ.) SIS2010-12		 For object detection including pedestrian detection, sliding window approach is widely used, in which classification usi... [more] SIS2010-12
pp.65-70
COMP 2009-05-26
10:05		 Saitama Saitama Univ. A Tight Upper Bound on the Hitting and the Cover times of Metropolis Walks
Yoshiaki Nonaka, Hirotaka Ono, Kunihiko Sadakane, Masafumi Yamashita (Kyushu Univ) COMP2009-10		 andom walks on finite graphs are random token circulation on graphs. Random walks such that token moves to adjacent vert... [more] COMP2009-10
pp.9-12
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