A convolutional neural network with sparse representation

作者：

Highlights：

• This paper proposes the hybrid of a CNN model and sparse representation.

• We combine the CNN with predefined filters of wavelet and shearlet transform.

• The paper theoretically explains the work procedure of the proposed network model.

摘要

•This paper proposes the hybrid of a CNN model and sparse representation.•We combine the CNN with predefined filters of wavelet and shearlet transform.•The paper theoretically explains the work procedure of the proposed network model.

论文关键词：Image classification,Sparse representation,Convolutional neural network,Feature extraction,Multilayer convolutional sparse coding

论文评审过程：Received 21 January 2020, Revised 3 July 2020, Accepted 3 September 2020, Available online 24 September 2020, Version of Record 29 September 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106419