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Paper Abstract and Keywords
Presentation 2020-02-27 14:55
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS
Yusuke Akamatsu (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents multi-view Bayesian generative model for multi-subject fMRI data (MVBGM-MS) for accurate estimation of image categories using brain activity while viewing images. MVBGM-MS extracts latent representations shared by multi-subject brain activity to decrease the influence depending on brain activity of each subject. Furthermore, we associate the derived latent representations with visual features and semantic features extracted from viewed images for estimation of image categories using brain activity. In the experiment, we verify the effectiveness of MVBGM-MS and the relationship between estimation performance and the number of subjects for utilizing brain activity.
Keyword (in Japanese) (See Japanese page) 
(in English) Brain decoding / fMRI / generative model / multi-view learning / / / /  
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Conference Information
Committee ITE-HI IE ITS ITE-MMS ITE-ME ITE-AIT  
Conference Date 2020-02-27 - 2020-02-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ITE-ME 
Conference Code 2020-02-HI-IE-ITS-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS 
Sub Title (in English)  
Keyword(1) Brain decoding  
Keyword(2) fMRI  
Keyword(3) generative model  
Keyword(4) multi-view learning  
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1st Author's Name Yusuke Akamatsu  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Ryosuke Harakawa  
2nd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
3rd Author's Name Takahiro Ogawa  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Miki Haseyama  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2020-02-27 14:55:00 
Presentation Time 15 minutes 
Registration for ITE-ME 
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Volume (vol) vol.119 
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