Presentation 2020-01-24
Visualization of Relational data by Embedding to Direct Product Space
Kazuki Miyazaki, Ryuji Watanabe, Tetsuo Furukawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The aim of this work is to develop a modeling method of relational data. Relational data is a dataset observed obtained from object pairs belonging to several domains. The task of the proposed method is to embed the objects into the direct product latent spaces, each of which is corresponding to the domain. In this work, we employed the kernel soother to represent the product manifold, and it estimates the latent variables by a non-parametric unsupervised manner.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Relational data analysis / Visualization / Kernel smoother / Product manifold
Paper # NC2019-63
Date of Issue 2020-01-16 (NC)

Conference Information
Committee NLP / NC
Conference Date 2020/1/23(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Miyakojima Marine Terminal
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hiroaki Kurokawa(Tokyo Univ. of Tech.) / Hayaru Shouno(UEC)
Vice Chair Kiyohisa Natsume(Kyushu Inst. of Tech.) / Kazuyuki Samejima(Tamagawa Univ)
Secretary Kiyohisa Natsume(Nippon Inst. of Tech.) / Kazuyuki Samejima(Kyushu Inst. of Tech.)
Assistant Yutaka Shimada(Saitama Univ.) / Toshikaza Samura(Yamaguchi Univ.) / Takashi Shinozaki(NICT) / Ken Takiyama(TUAT)

Paper Information
Registration To Technical Committee on Nonlinear Problems / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visualization of Relational data by Embedding to Direct Product Space
Sub Title (in English)
Keyword(1) Relational data analysis
Keyword(2) Visualization
Keyword(3) Kernel smoother
Keyword(4) Product manifold
1st Author's Name Kazuki Miyazaki
1st Author's Affiliation Kyushu Institute of Technology(Kyutech)
2nd Author's Name Ryuji Watanabe
2nd Author's Affiliation Kyushu Institute of Technology(Kyutech)
3rd Author's Name Tetsuo Furukawa
3rd Author's Affiliation Kyushu Institute of Technology(Kyutech)
Date 2020-01-24
Paper # NC2019-63
Volume (vol) vol.119
Number (no) NC-382
Page pp.pp.23-26(NC),
#Pages 4
Date of Issue 2020-01-16 (NC)