Flexible sparse regularization
From MaRDI portal
Publication:2971435
DOI10.1088/0266-5611/33/1/014002OpenAlexW2336136902MaRDI QIDQ2971435
Dirk A. Lorenz, Elena Resmerita
Publication date: 5 April 2017
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1601.04429
Related Items (5)
Nonconvex flexible sparsity regularization: theory and monotone numerical schemes ⋮ Multiscale hierarchical decomposition methods for ill-posed problems ⋮ Inducing sparsity via the horseshoe prior in imaging problems ⋮ Wavelet estimation of the dimensionality of curve time series ⋮ $ \newcommand{\e}{{\rm e}} {\alpha\ell_{1}-\beta\ell_{2}}$ regularization for sparse recovery
Uses Software
Cites Work
- Unnamed Item
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Convergence rates for regularization with sparsity constraints
- Linear convergence of iterative soft-thresholding
- Variational methods in imaging
- Totally convex functions for fixed points computation and infinite dimensional optimization
- Proximal algorithms for multicomponent image recovery problems
- Well-posedness and convergence rates for sparse regularization with sublinear \(l^q\) penalty term
- Minimization of non-smooth, non-convex functionals by iterative thresholding
- Regularization with non-convex separable constraints
- Sparse regularization with l q penalty term
- On Tikhonov regularization with non-convex sparsity constraints
- Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
- Linear Inversion of Band-Limited Reflection Seismograms
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Convergence rates of convex variational regularization
- Convergence rates inℓ1-regularization if the sparsity assumption fails
- Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization
This page was built for publication: Flexible sparse regularization