TENSOR RING DECOMPOSITION AND ITS APPLICATIONS

Tensor ring decomposition (TRD) is a powerful technique for factorizing high-order tensors into a sum of lower-rank matrices. This reduction can vastly reduce the storage complexity of various tensor processes. TRD has found broad applications in multiple fields, including data analysis, where it can optimize the performance of algorithms for tasks