Tensor Ring Decomposition for Efficient Data Representation

Tensor ring decomposition presents a novel method for effectively representing high-dimensional data. This transformation technique leverages the latent structure of tensors, enabling the representation as large datasets with substantially reduced memory consumption. Utilizing this {decomposition|, it becomes possible to execute complex tensor calc

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