Tensor Ring Decomposition for Efficient Data Representation
Tensor ring decomposition offers a novel technique for effectively representing high-dimensional data. This decomposition technique leverages the latent structure of tensors, allowing the representation in large datasets with substantially reduced memory consumption. By this {decomposition|, it becomes possible to perform complex tensor calculation