127 citations · 151 across the 10 of their papers we have counts for
5 papers · 1 filter
Decreasing Weighted Sorted Regularization
Xiangrong Zeng, Mário A. T. Figueiredo
We consider a new family of regularizers, termed {\it weighted sorted norms} (WSL1), which generalizes the recently introduced {\it octagonal shrinkage and clustering algo…
Robust Binary Fused Compressive Sensing using Adaptive Outlier Pursuit
Xiangrong Zeng, Mário A. T. Figueiredo
We propose a new method, {\it robust binary fused compressive sensing} (RoBFCS), to recover sparse piece-wise smooth signals from 1-bit compressive measurements. The proposed metho…
Exploiting Two-Dimensional Group Sparsity in 1-Bit Compressive Sensing
Xiangrong Zeng, Mário A. T. Figueiredo
We propose a new approach, {\it two-dimensional fused binary compressive sensing} (2DFBCS) to recover 2D sparse piece-wise signals from 1-bit measurements, exploiting 2D group spar…
Binary Fused Compressive Sensing: 1-Bit Compressive Sensing meets Group Sparsity
Xiangrong Zeng, Mário A. T. Figueiredo
We propose a new method, {\it binary fused compressive sensing} (BFCS), to recover sparse piece-wise smooth signals from 1-bit compressive measurements. The proposed algorithm is a…
Solving OSCAR regularization problems by proximal splitting algorithms
Xiangrong Zeng, Mário A. T. Figueiredo
The OSCAR (octagonal selection and clustering algorithm for regression) regularizer consists of a L_1 norm plus a pair-wise L_inf norm (responsible for its grouping behavior) and w…