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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 #
NC, MBE
(Joint)		 2012-12-12
10:40		 Aichi Toyohashi University of Technology A numerical derivation of learning coefficient in radial basis function network
Satoru Tokuda, Kenji Nagata, Masato Okada (Univ. of Tokyo) NC2012-78		 Radial basis function (RBF) network is a regression model which regresses input-output data by radial basis functions su... [more] NC2012-78
pp.25-30
NC 2010-10-23
11:55		 Fukuoka Kyushu Inst. Tech. (Kitakyushu Sci. and Res. Park) A neural network model for multiple 3D object recognition
Yasuaki Higuchi, Nobuhiko Asakura, Toshio Inui (Kyoto Univ.) NC2010-44		 We propose a neural network model for recognition of multiple objects that extends the Generalized Radial Basis Function... [more] NC2010-44
pp.11-16
NLP 2008-02-01
15:15		 Hokkaido   Image Restoration and Interpolation by Radial Basis Function Network
Zhenxing Pan, Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007-152		 A radial basis function network (RBFN) can be applied to image restoration and interpolation. The RBFN is a linear combi... [more] NLP2007-152
pp.57-62
CAS, NLP 2007-10-18
10:50		 Tokyo Musashi Institute of Technology Image compression using nonlinear prediction by RBF networks and DPCM
Keisuke Narisawa, Takashi Hoshino, Tohru Ikeguchi (Saitama Univ.) CAS2007-39 NLP2007-67		 Differential pulse code modulation (DPCM) is one of the most
famous methods to realize lossless image compression.
Due... [more]		 CAS2007-39 NLP2007-67
pp.25-30
NLP 2007-06-08
14:15		 Hiroshima   A very simple method for the image interpolation by radial basis function networks
Zhenxing Pan, Masato Senoo, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007-14		 Given sampled data from an original image, an interpolated image can be generated by using a radial basis function netwo... [more] NLP2007-14
pp.17-22
 Results 1 - 5 of 5  /   
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