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Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)		 2018-03-13
11:15		 Tokyo Kikai-Shinko-Kaikan Bldg. Application of U-Net to spine image extraction in CT image
Mikoto Kamata, Masayuki Kikuchi (Tokyo Univ.of Tech.), Hayaru Shouno (Univ. of Electro-Communications.), Isao Hayashi (Kansai Univ.), Kunihiko Fukushima (Fuzzy Logic Systems Inst.) NC2017-81		 In this study, we aimed at automatic extraction of spinal parts in CT images using deep learning as a foothold for autom... [more] NC2017-81
pp.81-84
MBE, NC
(Joint)		 2013-03-13
13:45		 Tokyo Tamagawa University Three-staged Neocognitron: Optimal Thereshold and Thinning-out of Cells
{Chihiro Yamamoto, Isao Hayashi (Kansai Univ.), Kunihiko Fukushima (FLSI) NC2012-143		 The neocognitron is a hierarchical multi-layered neural network
capable of robust visual pattern recognition.
In the ... [more]		 NC2012-143
pp.55-60
NC, MBE
(Joint)		 2010-03-10
15:00		 Tokyo Tamagawa University A Proposal of Boosting Algorithm for Brain-Computer Interface Using Probabilistic Data Interpolation
Isao Hayashi, Shinji Tsuruse (Kansai Univ.) NC2009-139		 Brain-computer interface(BCI) and brain-machine interface(BMI) have been come into the research limelight.The outer comp... [more] NC2009-139
pp.303-308
NC, MBE
(Joint)		 2010-03-11
16:00		 Tokyo Tamagawa University Neocognitron Trained by a New Competitive Learning
Kunihiko Fukushima, Isao Hayashi (Kansai Univ.), Hayaru Shouno (Univ. of Electro-Comm.), Masayuki Kikuchi, Yuki Makino (Tokyo Univ. of Tech.) NC2009-155		 The "neocognitron" is a hierarchical multilayered neural network capable of robust visual pattern recognition. It acqui... [more] NC2009-155
pp.397-402
NC, MBE
(Joint)		 2010-03-11
16:25		 Tokyo Tamagawa University Edge Extraction for the Neocognitron
Yuki Makino, Masayuki Kikuchi (Tokyo Univ. of Technology), Kunihiko Fukushima, Isao Hayashi (Kansai Univ.), Hayaru Shouno (Univ. of Electro-Communications) NC2009-156		 Neural network model neocognitron has an ability of robust visual pattern recognition. Feature-extracting cells, called ... [more] NC2009-156
pp.403-406
NC 2007-03-15
10:10		 Tokyo Tamagawa University Interpolating Vectors for Robust Pattern Recognition
Kunihiko Fukushima, Isao Hayashi (Kansai Univ.) 		This paper proposes a powerful algorithm for pattern recognition, which uses \textit{interpolating vectors} for classify... [more] NC2006-171
pp.105-110
 Results 1 - 6 of 6  /   
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