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An alternating minimization method for robust principal component analysis 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2019, 卷号: 34, 期号: 6, 页码: 1251-1276
Authors:  Shen, Yuan;  Xu, Hongyu;  Liu, Xin
Favorite  |  View/Download:15/0  |  Submit date:2020/01/10
Robust principal component analysis  symmetric low rank product minimization  singular value decomposition  alternating minimization  
Identification of local sparsity and variable selection for varying coefficient additive hazards models 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2018, 卷号: 125, 页码: 119-135
Authors:  Qu, Lianqiang;  Song, Xinyuan;  Sun, Liuquan
Favorite  |  View/Download:26/0  |  Submit date:2018/07/30
Additive hazards models  Group penalty  Kernel smoothing  Local sparsity  Oracle property  Varying coefficients  
Identification of local sparsity and variable selection for varying coefficient additive hazards models 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2018, 卷号: 125, 页码: 119
Authors:  Qu, Lianqiang;  Song, Xinyuan;  Sun, Liuquan
Favorite  |  View/Download:9/0  |  Submit date:2019/12/31
LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 11, 页码: 5257-5269
Authors:  Yao, Chao;  Liu, Ya-Feng;  Jiang, Bo;  Han, Jungong;  Han, Junwei
Favorite  |  View/Download:7/0  |  Submit date:2018/07/30
Unsupervised learning  feature selection  manifold learning  image recognition