Tensor Ring Decomposition for Efficient Data Representation

Tensor ring decomposition presents a novel method for efficiently representing high-dimensional data. This decomposition technique utilizes the intrinsic structure of tensors, enabling the representation as large datasets with remarkably reduced memory usage. Utilizing this {decomposition|, it becomes achievable to perform complex tensor operations

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