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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 # |
PRMU, IE, MI, SIP |
2017-05-26 09:20 |
Aichi |
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An Age Estimation Method Using Brain Local Features of Brain MRI Images and Its Performance Evaluation Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13 |
It is known that brain tissues have age-related morphological changes through a set of statistical analysis
using large... [more] |
SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13 pp.67-70 |
MI |
2016-07-25 15:15 |
Hokkaido |
Tomakomai Civic Hall |
A Study of an Efficient Method of Selecting Effective Brain Local Features for Age Estimation Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical And Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2016-38 |
Estimating the age of a subject by evaluating brain morphological changes leads diagnostic support
or early detection o... [more] |
MI2016-38 pp.13-18 |
AI |
2012-11-26 13:30 |
Fukuoka |
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A New Classification Method Focusing on Prediction Accuracy of Classifiers for ECOC Classification Systems Sotaro Ishibashi, Kenta Mikawa, Takashi Ishida, Masayuki Goto (Waseda Univ.) AI2012-16 |
The ECOC method is known as a powerful tool using a combination of binary classifiers for multi-valued document classifi... [more] |
AI2012-16 pp.7-12 |
MBE, NC (Joint) |
2010-11-18 18:10 |
Miyagi |
Tohoku University |
Comparison of Precision in Posterior Probability Estimation for Classification of Electroencephalogram
-- Comparision of Support Vector Machine and Relevance Vector Machine -- Hiromu Takahashi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2010-61 |
The posterior probability in classification is useful information, which can be used for the rejection of uncertain clas... [more] |
NC2010-61 pp.47-52 |
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