Title
Unsupervised feature selection by self-paced learning regularization
Abstract
•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
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 Zheng120832.78
Xiaofeng Zhu2712.46
Xiaofeng Zhu3712.46
Guoqiu Wen4464.62
Yonghua Zhu521612.38
Yu Hao624817.42
Jiangzhang Gan7442.60