A feature extraction model based on discriminative graph signals

作者：

Highlights：

• Propose the idea of discriminative graph signal.

• Propose a feature extraction model based on graph.

• Make use of the relation among samples in extracting features.

• The discriminative signal has only a few frequency terms.

摘要

•Propose the idea of discriminative graph signal.•Propose a feature extraction model based on graph.•Make use of the relation among samples in extracting features.•The discriminative signal has only a few frequency terms.

论文关键词：Discriminative signal,Feature extraction,Graph Laplacian,Graph signal processing,Supervised classification

论文评审过程：Received 27 September 2018, Revised 29 June 2019, Accepted 2 August 2019, Available online 8 August 2019, Version of Record 13 August 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112861