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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI, MICT 2023-11-14
13:00
Fukuoka   Brain Disease Classification Based on Brain MRI Images Using 3D-CNN
Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center) MICT2023-29 MI2023-22
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] MICT2023-29 MI2023-22
pp.15-20
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-15
09:00
Kagoshima Kagoshima University Efficient Light Field Reconstruction of Real Scenes for Dense Multi-View Systems beyond Visual Obstructions
Seiya Suda (Tokyo Univ. of Science/NII), Kazuya Kodama (NII), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2018-55 IE2018-139 MVE2018-86
In this paper, we study dense multi-view systems transmitting light fields beyond a visual obstruction as if it were tra... [more] IMQ2018-55 IE2018-139 MVE2018-86
pp.189-192
MBE, NC
(Joint)
2017-03-13
13:10
Tokyo Kikai-Shinko-Kaikan Bldg. Problems in Interpolation of Invisible Markers of the 3D Motion Capture System during Experiments Investigating Brain Regions Responsible for Skilled Motor Activities by Using Intracranial EEGs
Motoharu Hagio (KIT), Masaya Togo, Riki Matsumoto, Akihiro Shimotake, Akio Ikeda (KU), Hiroaki Wagatsuma (KIT/RIKEN BSI/AIRC, AIST) NC2016-68
Methodologies for intracranial EEG measurement and stimulation intervention are highly important for treatments of refra... [more] NC2016-68
pp.25-30
PRMU 2009-10-23
10:00
Hiroshima Hiroshima Univ. The expression and invariants of 3D object's shape using linear model of weak-stationary random fields.
Sho Takahashni, Jinhui Chao (Chuo Univ) PRMU2009-84
In this paper we show a model for 3D images and other high dimensional data distributions using a linear model of weak-s... [more] PRMU2009-84
pp.75-78
PRMU 2004-12-17
10:30
Oita   Parametric eigenspace method with sparsely distributed multiple cameras
Hidenori Tanaka (Keio Univ.), Itaru Kitahara (ATR), Hideo Saito (Keio Univ.), Hiroshi Murase (Nagoya Univ.), Kiyoshi Kogure, Norihiro Hagita (ATR)
In this paper, we propose a learning method of parametric eigenspace using sparsely distributed multiple cameras. Person... [more] PRMU2004-137
pp.19-24
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