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Committee Date Time Place Paper Title / Authors Abstract Paper #
HIP 2020-12-22
13:00		 Online Online Gender Estimation Method from Handwritten Characters Based on Deep Neural Network
Koting Wu, Sho Takizawa, Qiu Chen (Kogakuin Univ.) HIP2020-56		 Humans can infer the gender of the writer from handwritten characters to a certain extent. In this paper, we propose a m... [more] HIP2020-56
pp.15-19
BioX 2020-11-25
11:35		 Online Online Gait Based Gender Classification via Siamese Network
Yi-Cheng Yang (Osaka Univ.), Daigo Muramatsu (Seikei Univ.), Yasushi Yagi (Osaka Univ.) BioX2020-36		 An approach for gender classification from a walking image sequence is constructing CNN-based model that uses a gait ene... [more] BioX2020-36
pp.7-10
SIS 2012-03-01
09:40		 Tokyo Shibuya Satellite Class, Tokyo City Univ. Image Attribute Class Detection by Using the EMD
Hironobu Fukai (RITS), Yasue Mitsukura, Nozomu Hamada (KEIO) SIS2011-53		 In this paper, we describe a novel age and gender estimation using an empirical mode decomposition.
Recently, an empiri... [more]		 SIS2011-53
pp.1-4
NC 2008-01-16
14:10		 Hokkaido Centennial Hall, Hokkaido Univ. Age and Gender Estimation of Face Images by Self-Organizing Map
Koichi Ikuta, Hiroshi Kage, Kazuhiko Sumi, Ken-ichi Tanaka, Kazuo Kyuma (Mitsubishi Electric Corp.) NC2007-107		 As management of personal information becomes strict in recent years, it becomes difficult to acquire a large amount of ... [more] NC2007-107
pp.121-126
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