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.
Online learning for matrix factorization and sparse coding
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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.