Geometry-Aware Similarity Learning on SPD Manifolds for Visual Recognition
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DOI: 10.1109/tcsvt.2017.2729660
Abstract: Symmetric positive definite (SPD) matrices have been employed for data representation in many visual recognition tasks. The success is mainly attributed to learning discriminative SPD matrices encoding the Riemannian geometry of the underlying SPD manifolds.… read more here.
Keywords: similarity learning; spd manifolds; geometry; geometry aware ... See more keywords