198 citations · 480 across the 36 of their papers we have counts for
4 papers · 1 filter
Greedy metrics in orthogonal greedy learning
Lin Xu, Shaobo Lin, Jinshan Zeng +1
Orthogonal greedy learning (OGL) is a stepwise learning scheme that adds a new atom from a dictionary via the steepest gradient descent and build the estimator via orthogonal proje…
A Cyclic Coordinate Descent Algorithm for lq Regularization
Jinshan Zeng, Zhimin Peng, Shaobo Lin +1
In recent studies on sparse modeling, () regularization has received considerable attention due to its superiorities on sparsity-inducing and bias reduction over the $…
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing
Yu Wang, Jinshan Zeng, Zhimin Peng +2
This paper studies the convergence of the adaptively iterative thresholding (AIT) algorithm for compressed sensing. We first introduce a generalized restricted isometry property (g…
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm
Jinshan Zeng, Shaobo Lin, Zongben Xu
In recent studies on sparse modeling, non-convex penalties have received considerable attentions due to their superiorities on sparsity-inducing over the convex counterparts. Compa…