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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-21
09:00
Hokkaido Hokkaido Univ. A Comparative Evaluation of Deep Features -- Classifier-based Learning vs. Distance Metric Learning. --
Shota Horiguchi, Daiki Ikami, Kiyoharu Aizawa (UTokyo)
The extraction of useful deep features is important for many computer vision tasks. Deep features extracted from classif... [more]
PRMU, CNR 2017-02-19
10:45
Hokkaido   Incremental Personalization of Image Classifiers
Shota Horiguchi, Sosuke Amano, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) PRMU2016-178 CNR2016-45
(To be available after the conference date) [more] PRMU2016-178 CNR2016-45
pp.149-154
DE 2015-09-25
15:10
Kanagawa   A Study on Hierarchical Food Classification
Hokuto Kagaya, Shota Horiguchi (The Univ. of Tokyo), Sosuke Amano (foo.log), Kiyoharu Aizawa (The Univ. of Tokyo), Makoto Ogawa (foo.log) DE2015-30
Automatic food recognition or classification is very challenging task. One of the reason is that the number of food item... [more] DE2015-30
pp.59-64
PRMU, BioX 2015-03-19
17:10
Kanagawa   Log-normal distribution of objects' size in images and its applications to object detection -- Comparing general images and food images --
Shota Horiguchi, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) BioX2014-61 PRMU2014-181
When detecting objects in images by which classifying many location hypotheses, it is necessary to define aspect ratio a... [more] BioX2014-61 PRMU2014-181
pp.135-140
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