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Tensor Ring Decomposition and its Applications

May 24, 2025, 12:45 am / leaumhh391623.pointblog.net
Tensor ring decomposition is a powerful technique for analyzing high-order tensors. It expresses a tensor as a sum of smaller matrices, effectively representing its complexity. This representation allows for efficient computation and offers numerous utilization across various domains. In
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Efficient Representation Learning with Tensor Rings

May 21, 2025, 4:09 pm / leaumhh391623.pointblog.net
Tensor rings provide a novel and powerful framework for optimal representation learning. By decomposing high-order tensors into a sum of lower-rank tensors, tensor ring models capture complex data structures in a more compressed manner. This compression of dimensionality leads to significant bene
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