Review paper
Feature selection with multi-view data: A survey
Abstract
This survey aims at providing a state-of-the-art overview of feature selection and fusion strategies, which select and combine multi-view features effectively to accomplish associated tasks. The existing literatures on feature selection approaches are classified into three categories including filter method, wrapper method, and embedded method. Based on the feature selection methods mentioned above, feature-level fusion or known as low-level...
Paper Details
Title
Feature selection with multi-view data: A survey
Published Date
Oct 1, 2019
Journal
Volume
50
Pages
158 - 167
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