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Proximal operator

In mathematical optimization, the proximal operator is an operator associated with a convex function defined by: It is frequently used in… 
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Related topics

Related topics

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Convex functionMathematical optimizationProximal gradient methodTotal variation denoising

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Learning to Solve Linear Inverse Problems in Imaging with Neumann Networks
Recent advances have illustrated that it is often possible to learn to solve linear inverse problems in imaging using training… 
2017
2017
Beamforming-deconvolution: A novel concept of deconvolution for ultrasound imaging
In ultrasound (US) imaging, beamforming is usually separated from the deconvolution or some other post-processing techniques. The… 
2017
2017
Learning Convolutional Proximal Filters
In the past decade, sparsity-driven methods have led to substantial improvements in the capabilities of numerous imaging systems… 
2016
2016
Training Ternary Neural Networks with Exact Proximal Operator
In this paper, we propose a stochastic proximal gradient method to train ternary weight neural networks (TNN). The proposed… 
2016
2016
Knowledge-aided object-oriented three-dimensional microwave imaging
For the past few years, researchers hold a strong interests on knowledge-aided object-oriented high-resolution microwave imaging… 
2016
2016
Reweighted stochastic learning
2016
2016
Minimizing the Maximal Rank
In computer vision, many problems can be formulated as finding a low rank approximation of a given matrix. Ideally, if all… 
2015
2015
Un-regularizing: approximate proximal point algorithms for empirical risk minimization
  • 2015
  • Corpus ID: 16441296
For completeness, in this section we derive the dual (5) to the problem of computing proximal operator for the ERM objective (3). 
2014
2014
A convergence proof of the split Bregman method for regularized least-squares problems
The split Bregman (SB) method [T. Goldstein and S. Osher, SIAM J. Imaging Sci., 2 (2009), pp. 323-43] is a fast splitting-based… 
2014
2014
A convex formulation for informed source separation in the single channel setting
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