Ryosuke Harakawa — accepted AI-conference papers

2020

Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

ICASSP 2020accepted

Brain decoding studies have demonstrated that viewed image categories can be estimated from human functional magnetic resonance imaging (fMRI) activity. However, there are still limitations with the estimation performance because of the characteristics of fMRI data and the employment of only one mod…

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2019

Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis

Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama

ICASSP 2019accepted

This paper presents a method to estimate viewed image categories from human brain activity via newly derived semi-supervised fuzzy discriminative canonical correlation analysis (Semi-FDCCA). The proposed method can estimate image categories from functional magnetic resonance imaging (fMRI) activity…

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