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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
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
10:45		 Toyama   Gender classification of images of people using Gaze-based Feature Extraction
Riku Matsumoto, Hiroki Yoshimura, Masashi Nishiyama, Yoshio Iwai (Tottori Univ.) PRMU2016-83 IBISML2016-38		 (To be available after the conference date) [more] PRMU2016-83 IBISML2016-38
pp.221-226
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
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