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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]		 2013-01-23
09:30		 Kyoto   Face model creation based on simultaneous execution of hierarchical training-set clustering and common local feature extraction
Takayuki Fukui, Toshikazu Wada, Hiroshi Oike, Jun Sakata (Wakayama Univ.) PRMU2012-84 MVE2012-49		 Face image retrieval based on local features has advantages of short elapsed time and robustness against the occlusions.... [more] PRMU2012-84 MVE2012-49
pp.23-28
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]		 2013-01-23
11:10		 Kyoto   Co-segmentation based on Multiple-Instance Learning
Jun Sakata, Toshikazu Wada (Wakayama Univ.) PRMU2012-90 MVE2012-55		 Appearance learning of an object represented by a text can be realized by utilizing image retrieval systems on the Inter... [more] PRMU2012-90 MVE2012-55
pp.81-86
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]		 2013-01-23
11:40		 Kyoto   Keypoint selection based on Diverse Density for image retrieval
Keita Yuasa, Toshikazu Wada, Hiroshi Oike, Jun Sakata (Wakayama Univ.) PRMU2012-91 MVE2012-56		 We are planning to construct an image retrieval system using FPGA. For designing this system, we developed a prototype s... [more] PRMU2012-91 MVE2012-56
pp.87-92
NC 2006-06-15
12:10		 Okinawa OIST Predicting type of protein-protein interaction as a multiple-instance learning problem
Hiroshi Yamakawa, Yoshio Nakao, Koji Maruhashi (FUJITSU LAB.) 		We propose a method for predicting types of protein-protein interactions using a multiple-instance learning (MIL) model.... [more] NC2006-15
pp.37-42
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