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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 #
IBISML 2017-11-10
13:00
Tokyo Univ. of Tokyo Convolutional Neural Network with Entanglement Entropy
Shu Eguchi, Masaru Tanaka (Fukuoka Univ.) IBISML2017-65
In this paper, we propose a CNN with a process to reduce unnecessary information to identify input data using entangleme... [more] IBISML2017-65
pp.227-233
PRMU 2017-10-12
14:00
Kumamoto   Entanglement Entropic Convolutional Neural Network
Shu Eguchi, Masaru Tanaka (Fukuoka Univ.) PRMU2017-73
The neural network used for machine learning is an extract that extracts information necessary for classification from e... [more] PRMU2017-73
pp.61-66
PRMU, BioX 2017-03-21
16:50
Aichi   On Data Extension For Signal Data
Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.) BioX2016-73 PRMU2016-236
Efficient learning using limited data in machine learning is also important now even in the era of big data. In the case... [more] BioX2016-73 PRMU2016-236
pp.237-242
IBISML 2016-11-16
15:00
Kyoto Kyoto Univ. [Poster Presentation] Musical Instrument Sound Classification through CNN with Wavelet Analysis
Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.) IBISML2016-51
In music information processing, the instrument sounds analysis using a computer is an important research theme to analy... [more] IBISML2016-51
pp.45-49
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