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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 |
2018-12-14 15:50 |
Miyagi |
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Bayes Boundary Estimation Capability Assessment for Large Geometric Margin Minimum Classification Error Training Ikuhiro Nishiyama (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Osaki (Doshisha Univ.) PRMU2018-92 |
The recent, Large Geometric Margin Minimum Classification Error training has, based on the smoothness of its smooth clas... [more] |
PRMU2018-92 pp.91-96 |
PRMU, CNR |
2018-02-20 11:45 |
Wakayama |
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A Classification-Uncertainty-Based Criterion for Classification Boundary Selection David Ha (Doshisha Univ.), Juliette Maes (ECL), Yuya Tomotoshi (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Osaki (Doshisha Univ.) PRMU2017-166 CNR2017-44 |
[more] |
PRMU2017-166 CNR2017-44 pp.121-126 |
PRMU, CNR |
2017-02-18 11:20 |
Hokkaido |
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Small-sized Kernel Classifier By Support Vector Retraining Based on Minimum Classification Error Criterion Ryoma Tani (Doshisha Univ.), Hideyuki Watanabe (ATR), Shigeru Katagiri, Miho Osaki (Doshisha Univ.) PRMU2016-159 CNR2016-26 |
Different from the Multi-class Support Vector Machine (MSVM) that fixes Support Vectors (SVs) to training samples, the K... [more] |
PRMU2016-159 CNR2016-26 pp.41-46 |
PRMU |
2015-12-21 09:30 |
Nagano |
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Evaluation of Automatic Prototype-Model Size Optimization in Large Geometric Margin Minimum Classification Error Training Masahiro Ogino (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Osaki (Doshisha Univ.), Xugang Lu, Hisashi Kawai (NICT) PRMU2015-100 |
To develop a method for nding an appropriate class model size, which leads to accurate classication over unseen patter... [more] |
PRMU2015-100 pp.1-6 |
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