TENSOR RING DECOMPOSITION FOR EFFICIENT DATA REPRESENTATION

Tensor ring decomposition offers a novel method for effectively representing high-dimensional data. This factorization technique leverages the latent structure of tensors, allowing the representation of large datasets with substantially reduced memory usage. Utilizing this {decomposition|, it becomes possible to execute complex tensor computations