Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor

The existing algorithms for sparse coding, which aim to seek sparse representation for given multi-dimensional signal, suffer from two main defects. Vector-based algorithms, e.g., LISTA, couldn’t handle the signal in tensor form well. On the other hand, tensor-based algorithms are not learnable yet,...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 463; pp. 554 - 565
Main Authors:	Zhao, Qi, Liu, Guangcan, Liu, Qingshan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 06.11.2021
Subjects:	Differentiable programming Sparse coding Tensor representation Sparse coding Tensor representation Differentiable programming
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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