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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 #
PRMU 2017-10-12
09:30
Kumamoto   Accelerating Convolutional Neural Networks Using Low-Rank Tensor Decomposition
Kazuki Osawa, Akira Sekiya, Hiroki Naganuma, Rio Yokota (Tokyo Inst. of Tech.) PRMU2017-63
In the image recognition using convolution neural networks (CNN), convolution operations occupies the majority of the co... [more] PRMU2017-63
pp.1-6
PRMU 2017-10-13
09:15
Kumamoto   Improvement of speed using low precision arithmetic in deep learning and performance evaluation of accelerator
Hiroki Naganuma, Akira Sekiya, Kazuki Osawa, Hiroyuki Ootomo, Yuji Kuwamura, Rio Yokota (Tokyo Inst. of Tech.) PRMU2017-81
While recent convolution neural networks (CNN)cite{ref:CNN} are improving performance, amout of computation and data vol... [more] PRMU2017-81
pp.101-107
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