| 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 / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 44, no. 6, ME2020-44, pp. 79-83, Feb. 2020. |
| Paper # |
ME2020-44 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
HI IEICE-IE IEICE-ITS MMS ME 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 |
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) |
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| 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 |
ME |
| Paper # |
MMS2020-16, HI2020-16, ME2020-44, AIT2020-16 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.6 |
| Page |
pp.79-83 |
| #Pages |
5 |
| Date of Issue |
2020-02-20 (MMS, HI, ME, AIT) |