Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model

19 Sep 2016Wenqi WangVaneet AggarwalShuchin Aeron

Using the matrix product state (MPS) representation of tensor train decompositions, in this paper we propose a tensor completion algorithm which alternates over the matrices (tensors) in the MPS representation. This development is motivated in part by the success of matrix completion algorithms which alternate over the (low-rank) factors... (read more)

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