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Committee Date Time Place Paper Title / Authors Abstract Paper #
MoNA 2018-01-19
Kyoto Campus Plaza Kyoto Automatic biometric data generation by Generative Adversarial Network and its application to deep learning sample
Tatsuya Takahata (Tokyo University of Technology), Kazumasa Horie (University of Tsukuba), Yuri Akizuki (Kumamoto Univ.), Soichiro Ikuno (Tokyo University of Technology) MoNA2017-55
While deep learning has high learning performance and recognition performance, it requires a large amount of sample data... [more] MoNA2017-55
NC, NLP 2013-01-24
Hokkaido Hokkaido University Centennial Memory Hall Hardware Implementation of the Inhibitory Connected Pulse Coupled Neural Network using FPGA
Masahiro Yoshihara, Soichiro Ikuno, Hiroaki Kurokawa (Tokyo Univ of Tech) NLP2012-120 NC2012-110
Image segmentation is one of an image processing. Image segmentation is used object recognition and object detection. Pu... [more] NLP2012-120 NC2012-110
Kumamoto Kumamoto Univ. [Poster Presentation] Acoustic Simulation for Electric Vehicle in a Arbitrary Shaped Domain Using Meshless Time Domain Method
Yoshiharu Ohi (UEC), Tomomasa Tsuchiya, Yoshihisa Fujita (TUTI), Hiroaki Kurokawa, Soichiro Ikuno (TUT) ITS2012-19
Generally speaking, the rectangle mesh is necessary for the numerical simulation of the electromagnetic phenomena or the... [more] ITS2012-19
NLP 2012-03-28
Nagasaki Fukue Cultural Hall Evaluation of the gene regulatory network inference method by the neural network using DNA microarray data
Yasuki Hirai, Naoyuki Kizaki, Soichiro Ikuno, Hiroaki Kurokawa (Tokyo Univ of Tech) NLP2011-152
The gene regulatory networks show a correlation among gene expression.
A lot of method to describe gene regulatory netw... [more]
Nagasaki   Acoustic Field Analysis of moving EV car using FDTD method
Yuuki Yamaguchi (Tokyo Univ of Technology Graduate School), Hiroaki Kurokawa, Akio Sato, Soichiro Ikuno (Tokyo Univ of Technology) ITS2011-21
In recent years, the noise reduction of the cars is motivated with
the spread of electric vehicles and hybrid vehicle... [more]
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