2021
Low-Rank Tensor Completion by Approximating the Tensor Average Rank
ICCV 2021poster
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 recently proposed t-product based on any invertible linear transforms. First, we define the new tensor average r…