TENSOR RING DECOMPOSITION AND ITS APPLICATIONS

Tensor ring decomposition (TRD) is a powerful technique for breaking down high-order tensors into a sum of lower-rank matrices. This decomposition can significantly reduce the memory complexity of various tensor tasks. TRD has found numerous applications in diverse fields, including data analysis, where it can improve the performance of algorithms