Title
A novel multi-view dimensionality reduction and recognition framework with applications to face recognition.
Abstract
•SR2MCC jointly considers the correlation and discrimination.•SR2MCC is designed in accord with the decision rule of MvSRC.•Experimental results validate the effectiveness of the proposed framework.
Year
DOI
Venue
2018
10.1016/j.jvcir.2018.03.004
Journal of Visual Communication and Image Representation
Keywords
Field
DocType
Multi-view learning,Canonical correlations,Dimensionality reduction,Face recognition
Facial recognition system,Dimensionality reduction,Pattern recognition,Multiset,Iterative method,Canonical correlation,Sparse approximation,Correlation,Artificial intelligence,Classifier (linguistics),Mathematics
Journal
Volume
ISSN
Citations 
53
1047-3203
3
PageRank 
References 
Authors
0.36
27
5
Name
Order
Citations
PageRank
Xiao-Bo Shen120921.35
Yun-Hao Yuan223522.18
Fumin Shen3186891.49
Yang Xu411841.02
Quansen Sun5122283.09