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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...
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07/04/2022
Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such...
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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...
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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 ...
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06/11/2021
A Unified Framework for Constructing Nonconvex Regularizations
Over the past decades, many individual nonconvex methods have been propo...
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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...
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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...
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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 ...
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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...
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05/30/2018
On q-ratio CMSV for sparse recovery
Sparse recovery aims to reconstruct an unknown spare or approximately sp...
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04/02/2018
Adaptive Algorithm for Sparse Signal Recovery
Spike and slab priors play a key role in inducing sparsity for sparse si...
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01/19/2018
Sparse recovery based on q-ratio constrained minimal singular values
We study verifiable sufficient conditions and computable performance bou...
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10/11/2017