Tensor Convolutional Dictionary Learning With CP Low-Rank Activations
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DOI: 10.1109/tsp.2021.3135695
Abstract: In this paper, we propose to extend the standard Convolutional Dictionary Learning problem to a tensor representation where the activations are constrained to be “low-rank” through a Canonical Polyadic decomposition. We show that this additional… read more here.
Keywords: rank; tensor convolutional; convolutional dictionary; low rank ... See more keywords