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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 #
MI 2024-03-04
15:34		 Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 Predicting cognitive decline from Dual-task
Tomoya Noguchi, Shuqiong Wu, Fumio Okura, Yasushi Makihara, Yasushi Yagi (Osaka Univ.) MI2023-86		 Dementia is a progressive, hard-to-treat disease, making daily measurements of cognitive status crucial for detecting co... [more] MI2023-86
pp.176-179
MI 2024-03-04
15:46		 Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)		 Dual-task and EEG based Detection of Cognitive Impairment
Saki Watanabe, Shuqiong Wu, Fumio Okura, Yasushi Makihara, Manabu Ikeda, Shunsuke Sato, Maki Suzuki, Yuto Satake, Daiki Taomoto, Yasushi Yagi (Osaka Univ.) MI2023-87		  [more] MI2023-87
pp.180-183
MI 2020-09-03
14:10		 Online Online Reconstruction of 3D Organ Shape from a Single X-ray Image using Graph Convolutional Network
Fei Tong, Megumi Nakao (Kyoto Univ.), Shuqiong Wu (Osaka Univ.), Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2020-28		  [more] MI2020-28
pp.45-50
PRMU 2014-06-20
10:00		 Tokyo   A novel preprocessing technique for training Viola-Jones hand detector
Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2014-28		 Viola-Jones method combines Haar-like features with AdaBoost classifier. It is widely used in real time object detection... [more] PRMU2014-28
pp.37-41
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-03
09:30		 Tottori   Reducing False Positive Rate for Viola-Jones Method in Hand Detection
Shuqiong Wu, Hiroshi Nagahashi (Tokyo Inst. of Tech.) PRMU2013-45 IBISML2013-25		 The Viola-Jones object detector is a machine learning based method which combines Haar-like features with AdaBoost class... [more] PRMU2013-45 IBISML2013-25
pp.149-153
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