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Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX 2017-10-12
15:35		 Okinawa Nobumoto Ohama Memorial Hall Performance Evaluation of Gait Recognition by Metric Learning using Joint Intensity Histogram
Yushiro Kashimoto, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2017-28		 We evaluate the performance of gait recognition algorithm using metric learning based on log-likelihood ratio of joint i... [more] BioX2017-28
pp.17-22
PRMU, BioX 2017-03-20
10:00		 Aichi   Robust Gait Recognition for Carrying-Status by SVM-based Metric Learning using Joint Intensity Histogram
Atsuyuki Suzuki, Daigo Muramatsu, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) BioX2016-37 PRMU2016-200		 This paper describes a method of joint intensity metric learning to improve the robustness of gait recognition under car... [more] BioX2016-37 PRMU2016-200
pp.23-28
MI 2016-01-20
09:56		 Okinawa Bunka Tenbusu Kan Automated liver segmentation from 3D MRI without parameter tuning for imaging condition
Yuto Masaki, Shunta Hirayama, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-114		 The automated segmentation of liver from MRI is useful for computer-aided diagnosis system to liver fibrosis.
Several p... [more]		 MI2015-114
pp.199-204
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