research
∙
09/17/2022
How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
A vast amount of geographic information exists in natural language texts...
share
research
∙
07/04/2022
Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such...
research
∙
10/26/2021
Deep Learning-based Segmentation of Cerebral Aneurysms in 3D TOF-MRA using Coarse-to-Fine Framework
BACKGROUND AND PURPOSE: Cerebral aneurysm is one of the most common cere...
research
∙
07/23/2021
A note on sharp oracle bounds for Slope and Lasso
In this paper, we study the sharp oracle bounds for Slope and Lasso and ...
research
∙
06/11/2021
A Unified Framework for Constructing Nonconvex Regularizations
Over the past decades, many individual nonconvex methods have been propo...
research
∙
05/26/2021
Sparse recovery based on the generalized error function
In this paper, we propose a novel sparse recovery method based on the ge...
research
∙
03/12/2021
Block sparse signal recovery via minimizing the block q-ratio sparsity
In this paper, we propose a method for block sparse signal recovery that...
research
∙
10/07/2020
Minimization of the q-ratio sparsity with 1 < q ≤∞ for signal recovery
In this paper, we propose a general scale invariant approach for sparse ...
research
∙
08/29/2019
Enhanced block sparse signal recovery based on q-ratio block constrained minimal singular values
In this paper we introduce the q-ratio block constrained minimal singula...
research
∙
05/30/2018
On q-ratio CMSV for sparse recovery
Sparse recovery aims to reconstruct an unknown spare or approximately sp...
research
∙
04/02/2018
Adaptive Algorithm for Sparse Signal Recovery
Spike and slab priors play a key role in inducing sparsity for sparse si...
research
∙
01/19/2018
Sparse recovery based on q-ratio constrained minimal singular values
We study verifiable sufficient conditions and computable performance bou...
research
∙
10/11/2017
