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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-23
10:00		 Osaka   Minimum Classification Error Training with Automatic Control of Loss Smoothness
Hideaki Tanaka (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-92 MVE2013-33		 The Minimum Classification Error (MCE) training has been successfully applied to various types of classifiers. However, ... [more] PRMU2013-92 MVE2013-33
pp.7-12
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-23
10:30		 Osaka   Multi-Class Support Vector Machine based on Minimum Classification Error Criterion
Hisashi Uehara (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-93 MVE2013-34		 Gradient-descent-based optimization methods used in Minimum Classification Error (MCE) training are not necessarily easi... [more] PRMU2013-93 MVE2013-34
pp.13-18
PRMU, IPSJ-CVIM, MVE [detail] 2014-01-23
11:00		 Osaka   Large Geometric Margin Minimum Classification Error Training with Automatic Optimization Of The Number of Prototypes
Yuji Takayama (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Ohsaki (Doshisha Univ.), Shigeki Matsuda, Chiori Hori (NICT) PRMU2013-94 MVE2013-35		 Large Geometric Margin Minimum Classification Error (LGM-MCE) training, which adopts geometric-margin-based misclassific... [more] PRMU2013-94 MVE2013-35
pp.19-24
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