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Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2019, 卷号: 30, 期号: 2, 页码: 474-485
Authors:  Chang, Xiangyu;  Zhong, Yan;  Wang Y(王尧);  Lin SB(林绍波)
View  |  Adobe PDF(1882Kb)  |  Favorite  |  View/Download:62/11  |  Submit date:2018/07/31
Degrees of freedom  low-rank matrix estimate  multivariate linear regression  multivariate quantile regression (QR)  
Folded-concave penalization approaches to tensor completion 期刊论文
Neurocomputing, 2015, 卷号: 152, 页码: 261-273
Authors:  Cao WF(曹文飞);  Wang Y(王尧);  Yang, Can;  Chang, Xiangyu;  Han Z(韩志);  Xu ZB(徐宗本)
View  |  Adobe PDF(11144Kb)  |  Favorite  |  View/Download:159/22  |  Submit date:2015/02/04
Tensor Completion  Nuclear Norm  Folded-concave Penalization  Local Linear Approximation  Sparse Learning