A CP-low-rank convolutional sparse coding model for tensors is equivalent to Kruskal regression and is solved by an alternating algorithm that reconstructs signals with fewer nonzero activations than unconstrained ADMM.
Tensor regression with applications in neuroimaging data analysis
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Multivariate Convolutional Sparse Coding with Low Rank Tensor
A CP-low-rank convolutional sparse coding model for tensors is equivalent to Kruskal regression and is solved by an alternating algorithm that reconstructs signals with fewer nonzero activations than unconstrained ADMM.