Abstract: This paper focuses on the problem of low-rank tensor completion, the goal of which is to recover an underlying low-rank tensor from incomplete observations. Our method is motivated by the ...
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Abstract: Tensor decompositions can be a powerful tool when faced with the curse of dimensionality and have been applied in myriad applications. Their application to problems in the control community ...
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