TENSOR RING DECOMPOSITION FOR HIGH-DIMENSIONAL DATA ANALYSIS

Tensor ring decomposition presents a powerful framework for analyzing high-dimensional data. This technique represents a multi-way array, also known as a tensor, into a sum of smaller tensors with specific structural properties. By exploiting the low-rank structure of tensors, tensor ring decomposition reduces the dimensionality of the data while p

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