Parallelization scheme for canonical polyadic decomposition of large-scale high-order tensors

Abdelhak Boudehane,Laurent Albera,Arthur Tenenhaus,Laurent Le Brusquet,Remy Boyer

Signal Processing（2022）

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摘要

•Tensor modeling offers uniqueness which improves physical interpretation.•Tensors provide better source separation for ElectroEncephaloGraphic signals.•Parallelized tensor decomposition reduces the computational complexity.•Dealing simultaneously with high-order and large-scale tensors.

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关键词

High-order,Large-scales,Tensor decomposition,EEG,Parallel computing

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