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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, NLP
(Joint)
2021-01-21
11:15
Online Online Unsupervised Kernel Regression with Landmarks for Large Relational Data -- Toward Visual Analytics Method for Complex Relational Data --
Shuhei Takano, Ryo Tsuno, Kazuki Noguchi, Kazuki Miyazaki, Tetsuo Furukawa (KIT) NC2020-32
The aim of this work is to develop a nonlinear modeling method of large-scale relational data. For this purpose, we exte... [more] NC2020-32
pp.1-6
NLP, NC
(Joint)
2020-01-24
10:30
Okinawa Miyakojima Marine Terminal Visualization of Relational data by Embedding to Direct Product Space
Kazuki Miyazaki, Ryuji Watanabe, Tetsuo Furukawa (Kyutech) NC2019-63
The aim of this work is to develop a modeling method of relational data. Relational data is a dataset observed obtained ... [more] NC2019-63
pp.23-26
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