2022
On The Relaxation of Orthogonal Tensor Rank and Its Nonconvex Riemannian Optimization for Tensor Completion
ICASSP 2022accepted
Natural extension of matrix rank has attracted interest toward a parsimonious representation and completion of a tensor with partial observation. In this paper, we focus on orthogonal tensor rank and discuss its nonconvex relaxation and minimization. Accordingly, we present a completion algorithm us…