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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
US 2011-12-22
13:00
Kanagawa Suzukakedai Campus, Tokyo Institute of Technology Simulation of acoustic streaming in an ultrasonic air pump using GPU array
Yuji Wada, Daisuke Koyama, Kentaro Nakamura (Tokyo Tech.) US2011-77
Direct finite difference fluid simulation of acoustic streaming on the fine-meshed three-dimensional model by graphics p... [more] US2011-77
pp.1-6
NLC 2011-07-08
14:55
Tokyo IBM Japan, Ltd. Extracting evaluative tuples with structure learning
Hajime Morita, Hiroya Takamura, Manabu Okumura (TokyoTech) NLC2011-17
 [more] NLC2011-17
pp.89-93
NC, MBE
(Joint)
2011-03-08
13:45
Tokyo Tamagawa University Comparison between the Parameter and the Hidden Variable Space for Calculation of the Marginal Likelihood
Takushi Miki, Keisuke Yamazaki, Sumio Watanabe (Tokyo Tech) NC2010-176
The marginal likelihood has important information for model selection and optimization of a prior distribution.In practi... [more] NC2010-176
pp.289-294
IBISML, PRMU, IPSJ-CVIM [detail] 2010-09-06
09:30
Fukuoka Fukuoka Univ. Proposal of MCMC methods on hidden variables of a nomral mixture and its application to Bayes marginal Likelihood
Takushi Miki, Sumio Watanabe (Tokyo Tech) PRMU2010-75 IBISML2010-47
The Bayes marginal likelihood has important information for model
selection, optimization for hyperparameter.However, ... [more]
PRMU2010-75 IBISML2010-47
pp.143-148
NC 2006-10-11
14:35
Nara NAIST Bayesian Hypothesis Testing in Singular Models; a Case Study of Time Series Analysis
Kaori Fujiwara (IBM), Sumio Watanabe (Tokyo Tech.)
 [more] NC2006-51
pp.37-41
NLC 2006-07-27
15:50
Hokkaido Future University Hakodate Detection of Text Sections which contain typical forms from Closed Captions using AdaBoost Algorism
Ichiro Yamada, Kikuka Miura, Hideki Sumiyoshi, Nobuyuki Yagi (NHK), Manabu Okumura, Takenobu Tokunaga (Tokyo Institute of Technology)
In the closed captions, there are a lot of typical expressions to express specific things, for example, first introducti... [more] NLC2006-5
pp.25-30
 Results 1 - 6 of 6  /   
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