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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 # |
NC, MBE (Joint) |
2010-03-09 14:35 |
Tokyo |
Tamagawa University |
Estimation of Intracellure Calcium Ion Dynamics by Particle Filter
-- Application for Actual Physiological Experimental Data -- Takamasa Tsunoda (Tokyo Inst. of Tech.), Toshiaki Omori (Univ Tokyo/RIKEN), Hiroyoshi Miyakawa (TUPLS), Masato Okada (Univ Tokyo/RIKEN), Toru Aonishi (Tokyo Inst. of Tech./RIKEN) NC2009-96 |
Recently, some statistical methods for estimating Ca concentration from fluorescent signals of Ca indicator dyes have be... [more] |
NC2009-96 pp.51-56 |
NC, NLP |
2008-06-27 10:55 |
Okinawa |
University of the Ryukyus |
MEG denoising using simultaneous current estimation of artifacts and cortical activities Ken-ichi Morishige (Toyama Pref. Univ.), Dai Kawawaki, Taku Yoshioka, Masa-aki Sato, Mitsuo Kawato (ATR) NC2008-19 |
While measuring magnetoencephalographic (MEG) signals, these are corrupted by large magnetic artifacts, such as cardiac,... [more] |
NC2008-19 pp.41-46 |
NC |
2007-03-14 16:00 |
Tokyo |
Tamagawa University |
Verification of Hierarchical Bayesian Estimation combining MEG and fMRI : Motor task analysis Masanori Osako (NAIST/ATR), Okito Yamashita (ATR), Nobuo Hiroe (ATR/NICT), Masa-aki Sato (ATR) |
In the non-invasive brain research, time resolution and spatial resolution are important factors. Magnetoencephalography... [more] |
NC2006-130 pp.73-78 |
NC |
2007-03-14 10:10 |
Tokyo |
Tamagawa University |
Unbiased Learning for Hierarchical Models Masashi Sekino, Katsumi Nitta (Tokyo Tech) |
It is known that overfitting occurs when a conventional statistical learning method such as maximum likelihood estimatio... [more] |
NC2006-136 pp.109-114 |
NC |
2006-03-15 11:00 |
Tokyo |
Tamagawa University |
Analysis of Hierarchical Variational Bayes Approach in Linear Inverse Problem Shinichi Nakajima, Sumio Watanabe (Tokyo Inst. of Tech./Nikon) |
It is known that,
in singular models,
the Bayes estimation commonly has the advantage of generalization performance
o... [more] |
NC2005-117 pp.67-72 |
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