9 citations · 16 across the 5 of their papers we have counts for
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math.OC2019★ 6 cited
A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines
Dunbiao Niu, Chengjing Wang, Peipei Tang +2
Support vector machines (SVMs) are successful modeling and prediction tools with a variety of applications. Previous work has demonstrated the superiority of the SVMs in dealing wi…
eess.IV2019★ 1 cited
A Dual Alternating Direction Method of Multipliers for Image Decomposition and Restoration
Qingsong Wang, Chengjing Wang, Peipei Tang +1
In this paper, we develop a dual alternating direction method of multipliers (ADMM) for an image decomposition model. In this model, an image is divided into two meaningful compone…