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1000 shrine gates in Fushimi Inari shrine, Kyoto

Akisato Kimura

Ph.D (Engineering)

Media Recognition Research Group
Media Information Laboratory
NTT Communication Science Laboratories

Visiting Industrial Fellow,
Computational and Biological Learning Laboratory,
Department of Engineering,
University of Cambridge

E-mail:   akisato <at> ieee  org

June, 2017 We will present our work "Single-epoch supernova classification with deep convolutional neural networks" at JST-CREST Workshop collocated with ICDCS2017.
March, 2017 I joined Computational and Biological Learning Groups in University of Cambridge as a Visting Industrial Fellow.

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