Abstract | ||
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•This paper uses self-representation method to construct feature selection model.•Self-paced learning is added into feature selection to consider the outliers.•This paper proposes a novel optimization algorithm to solve the objective function. |
Year | DOI | Venue |
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2020 | 10.1016/j.patrec.2018.06.029 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Feature selection,Self-paced learning,Robust statistic | Journal | 132 |
ISSN | Citations | PageRank |
0167-8655 | 34 | 0.74 |
References | Authors | |
35 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wei Zheng | 1 | 208 | 32.78 |
Xiaofeng Zhu | 2 | 71 | 2.46 |
Xiaofeng Zhu | 3 | 71 | 2.46 |
Guoqiu Wen | 4 | 46 | 4.62 |
Yonghua Zhu | 5 | 216 | 12.38 |
Yu Hao | 6 | 248 | 17.42 |
Jiangzhang Gan | 7 | 44 | 2.60 |