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- Kyoto UniversityJP15 papers
- RIKEN Center for Advanced Intelligence ProjectJP6 papers
- National Institute of Information and Communications TechnologyJP4 papers
- Okinawa Institute of Science and Technology Graduate UniversityJP4 papers
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stat.ML2020★ 22 cited
Multiple-view clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization
Tomoki Tokuda, Okito Yamashita, Junichiro Yoshimoto
In neuroscience, the functional magnetic resonance imaging (fMRI) is a vital tool to non-invasively access brain activity. Using fMRI, the functional connectivity (FC) between brai…
stat.ML2017★ 291 cited
Learning Discrete Representations via Information Maximizing Self-Augmented Training
Weihua Hu, Takeru Miyato, Seiya Tokui +2
Learning discrete representations of data is a central machine learning task because of the compactness of the representations and ease of interpretation. The task includes cluster…
stat.ML2014★ 9 cited
Principal Sensitivity Analysis
Sotetsu Koyamada, Masanori Koyama, Ken Nakae +1
We present a novel algorithm (Principal Sensitivity Analysis; PSA) to analyze the knowledge of the classifier obtained from supervised machine learning techniques. In particular, w…