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Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation
In this paper, we present new results on the Riemannian geometry of symmetric positive semi-definite (SPSD) matrices.
Mahalanonbis Distance Informed by Clustering
Specifically we show that organizing similar coordinates in clusters can be exploited for the construction of the Mahalanobis distance between samples.
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