Original paper
Robust tensor completion using transformed tensor singular value decomposition
Abstract
Summary In this article, we study robust tensor completion by using transformed tensor singular value decomposition (SVD), which employs unitary transform matrices instead of discrete Fourier transform matrix that is used in the traditional tensor SVD. The main motivation is that a lower tubal rank tensor can be obtained by using other unitary transform matrices than that by using discrete Fourier transform matrix. This would be more effective...
Paper Details
Title
Robust tensor completion using transformed tensor singular value decomposition
Published Date
Mar 18, 2020
Volume
27
Issue
3