Presentation 2022-03-11
A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process
Tomoe Taniguchi, Daichi Mochihashi, Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Tetsunari Inamura, Ichiro Kobayashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this study, we attempt to understand the meaning of adverbs through the features of human actions. Specifically, the trajectories in the nonlinear latent space obtained by compressing human actions with a Gaussian process latent variable model (GPLVM) are represented by a Gaussian process with a Spectral Mixture kernel. We also propose a multimodal topic model in frequency space that captures the correspondence between adverbs and the multiple frequency components that make up the trajectories in each dimension.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Gaussian Process / Topic Model / Spectral Mixture Kernel / Understanding the meaning of Adverbs
Paper # PRMU2021-74
Date of Issue 2022-03-03 (PRMU)

Conference Information
Committee PRMU / IPSJ-CVIM
Conference Date 2022/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Differentiable rendering
Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Masakazu Iwamura(Osaka Pref. Univ.) / Mitsuru Anpai(Denso IT Lab.)
Secretary Masakazu Iwamura(NTT) / Mitsuru Anpai(Tottori Univ.)
Assistant Kouta Yamaguchi(CyberAgent) / Yusuke Matsui(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process
Sub Title (in English)
Keyword(1) Gaussian Process
Keyword(2) Topic Model
Keyword(3) Spectral Mixture Kernel
Keyword(4) Understanding the meaning of Adverbs
1st Author's Name Tomoe Taniguchi
1st Author's Affiliation Ochanomizu University(Ochanomizu Univ.)
2nd Author's Name Daichi Mochihashi
2nd Author's Affiliation The Institute of Statistical Mathematics(ISM)
3rd Author's Name Masatoshi Nagano
3rd Author's Affiliation The University of Electro-Communications(UEC)
4th Author's Name Tomoaki Nakamura
4th Author's Affiliation The University of Electro-Communications(UEC)
5th Author's Name Takayuki Nagai
5th Author's Affiliation Osaka University(Osaka Univ.)
6th Author's Name Tetsunari Inamura
6th Author's Affiliation National Institute of Informatics(NII)
7th Author's Name Ichiro Kobayashi
7th Author's Affiliation Ochanomizu University(Ochanomizu Univ.)
Date 2022-03-11
Paper # PRMU2021-74
Volume (vol) vol.121
Number (no) PRMU-427
Page pp.pp.91-96(PRMU),
#Pages 6
Date of Issue 2022-03-03 (PRMU)