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Committee Date Time Place Paper Title / Authors Abstract Paper #
ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2016-02-23
09:45
Hokkaido Hokkaido Univ. General Food Recognition Based on Hierarchical Deep Learning with Metadata
Hokuto Kagaya, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) ITS2015-74 IE2015-116
Food image analysis is one of the key technology to record everyday meal automatically. FoodLog, the system we have been... [more] ITS2015-74 IE2015-116
pp.229-234
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
LOIS 2014-03-07
16:20
Okinawa   Food Image Recognition Using Convolutional Neural Networks for Helping Food Record
Hokuto Kagaya, Kiyoharu Aizawa (Univ. of Tokyo), Makoto Ogawa (foo.log) LOIS2013-66
 [more] LOIS2013-66
pp.71-76
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