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Multiview Graph Learning with Consensus Graph
In particular, we propose an optimization problem, where graph data is assumed to be smooth over the multiview graph and the topology of the individual views and that of the consensus graph are learned, simultaneously.
Community Detection in Multi-frequency EEG Networks
Results} The proposed approach is applied to electroencephalogram data collected during a study of error monitoring in the human brain.
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