Tensor Ring Decomposition for Efficient Data Representation
Tensor ring decomposition offers a novel method for optimally representing high-dimensional data. This factorization technique exploits the intrinsic structure of tensors, enabling the representation of large datasets with substantially reduced memory footprint. Through this {decomposition|, it becomes feasible to perform complex tensor calculation