Title | ||
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A novel multi-view dimensionality reduction and recognition framework with applications to face recognition. |
Abstract | ||
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•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 Shen | 1 | 209 | 21.35 |
Yun-Hao Yuan | 2 | 235 | 22.18 |
Fumin Shen | 3 | 1868 | 91.49 |
Yang Xu | 4 | 118 | 41.02 |
Quansen Sun | 5 | 1222 | 83.09 |