Tensor ring decomposition employs a powerful technique for understanding high-order website tensors. It expresses a tensor as a product of smaller matrices, effectively representing its complex

Tensor ring decomposition provides a novel approach to data representation by decomposing high-order tensors into a sum of low-rank matrices. This factorization leverages the inherent structure within data, enabling efficient storage and processing. Applications range from recommender systems to