TENSOR RING DECOMPOSITION AND ITS APPLICATIONS

Tensor ring decomposition (TRD) forms a powerful technique for factorizing high-order tensors into a sum of lower-rank matrices. This reduction can dramatically reduce the storage complexity of various tensor tasks. TRD has found wide applications in diverse fields, including machine learning, where it can improve the accuracy of algorithms for tas