Norme nucléaire d'un tenseur
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Tensor Nuclear Norms A tensor’s nuclear norm is the sum of its singular values, as provided by the singular value decomposition (SVD) of the tensor itself. This is important in dimensionality reduction and multi-variate statistics, where the nuclear norm of a 2-tensor is used as convex surrogate for dimensional rank, which dramatically simplifies many deep learning optimization problems.
Contributeurs: Maya Pentsch, wiki