Abstract: Optimal transport (OT) theory has attracted much attention in machine learning and signal processing applications. OT defines a notion of distance between probability distributions of source ...
Background: Rising anxiety and depression among college students demand effective interventions. While reading benefits mental health, the comparative effects of different reading methods (paper, ...
Abstract: Since the space of covariance matrices forms a nonlinear manifold, conventional spatial smoothing techniques, which are formulated within Euclidean frameworks, are unable to fully exploit ...
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