Y. Lou

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20132022

most citedProbabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior

1 citations · 1 across the 3 of their papers we have counts for

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math.NA2020

A Novel Regularization Based on the Error Function for Sparse Recovery

Weihong Guo, Yifei Lou, Jing Qin +1

Regularization plays an important role in solving ill-posed problems by adding extra information about the desired solution, such as sparsity. Many regularization terms usually inv…

math.NA2019

Accelerated Schemes for the $L_{1} / L_{2}$ Minimization

Chao Wang, Ming Yan, Yaghoub Rahimi +1

In this paper, we consider the $L_{1} / L_{2}$ minimization for sparse recovery and study its relationship with the $L_{1}$ - $α L_{2}$ model. Based on this relationship, we propose three nu…

math.NA2018

A Scale Invariant Approach for Sparse Signal Recovery

Yaghoub Rahimi, Chao Wang, Hongbo Dong +1

In this paper, we study the ratio of the $L_{1}$ and $L_{2}$ norms, denoted as $L_{1} / L_{2}$ , to promote sparsity. Due to the non-convexity and non-linearity, there has been little atten…

A Novel Regularization Based on the Error Function for Sparse Recovery

Accelerated Schemes for the L1​/L2​ Minimization

A Scale Invariant Approach for Sparse Signal Recovery

Accelerated Schemes for the $L_{1} / L_{2}$ Minimization