Review paper
A feature extraction model based on discriminative graph signals
Volume: 139, Pages: 112861 - 112861
Published: Jan 1, 2020
Abstract
Classification finds wide applications in artificial intelligence and expert systems. Feature extraction is a key step for classifier learning. However, the relation among samples is usually ignored in classical feature extraction models. Recently, feature extraction based on graph signal processing that makes use of the relation among samples has attracted great attention. It is a common assumption that the classification information is smooth...
Paper Details
Title
A feature extraction model based on discriminative graph signals
Published Date
Jan 1, 2020
Volume
139
Pages
112861 - 112861
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