Title
Multi-view common component discriminant analysis for cross-view classification
Abstract
•We extract view-independent features to remove the view discrepancy.•We integrate discriminant regularization to learn a discriminant subspace.•We extend single-view local geometry preservation to multi-view scenario.•We integrate local consistency regularization to learn a structured subspace.
Year
DOI
Venue
2019
10.1016/j.patcog.2019.03.008
Pattern Recognition
Keywords
Field
DocType
Cross-view classification,Local geometry preservation,Multi-view learning,Subspace learning
Drawback,Nonlinear structure,Nonlinear system,Subspace topology,Pattern recognition,Discriminant,Artificial intelligence,Linear discriminant analysis,Completeness (statistics),Manifold,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
92
1
0031-3203
Citations 
PageRank 
References 
12
0.53
0
Authors
6
Name
Order
Citations
PageRank
Xinge You1144183.00
Jiamiao Xu2152.24
Wei Yuan314511.94
Xiao-Yuan Jing476955.18
Dacheng Tao519032747.78
Taiping Zhang6144.60