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 You | 1 | 1441 | 83.00 |
Jiamiao Xu | 2 | 15 | 2.24 |
Wei Yuan | 3 | 145 | 11.94 |
Xiao-Yuan Jing | 4 | 769 | 55.18 |
Dacheng Tao | 5 | 19032 | 747.78 |
Taiping Zhang | 6 | 14 | 4.60 |