Sparse Reconstruction by Separable Approximation
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- Type
- article
- Published
- 2008-05-12
- Cited by
- 2,046
- References
- 88
- Access
- Open access
- OpenAlex
- https://openalex.org/W2039957107
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7399917
Keywords
Compressed sensing, Underdetermined system, Algorithm, Lasso (programming language), Term (time)
References
- Recent Developments in Total Variation Image Restoration
- The Dantzig selector: Statistical estimation when P is much larger than n
- Review of 'Numerical Optimization' by Bonnans, Gilbert, Lemaréchal and Sagastizabal
- Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization
- Nonmonotone Globalization Techniques for the Barzilai-Borwein Gradient Method
- Nonmonotone Spectral Projected Gradient Methods on Convex Sets
- Efficient projections onto the l1-ball for learning in high dimensions
- Matrix computations (3rd ed.)
- A variational formulation for frame-based inverse problems
- Atomic Decomposition by Basis Pursuit
- Affine Invariant Flows in the Beltrami Framework
- Signal Recovery by Proximal Forward-Backward Splitting
- Adaptive greedy approximations
- A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration
- Gradient projection methods for quadratic programs and applications in training support vector machines
- A semismooth Newton method for Tikhonov functionals with sparsity constraints
- An expectation-maximization algorithm for space-time sparsity regularization of the MEG inverse problem
- A nonmonotone line search technique for Newton's method
- Simultaneous Variable Selection
- Stable Recovery of Sparse Signals Via Regularized Minimization
Cited by
- Efficient Multi-Stage Conjugate Gradient for Trust Region Step
- Towards a robust face recognition system using compressive sensing
- Structured Sparsity in Structured Prediction
- Online Learning of Structured Predictors with Multiple Kernels
- Single-shot phase imaging with randomized light (SPIRaL).
- Frequency-demultiplication OEO for stable millimeter-wave signal generation utilizing phase-locked frequency-quadrupling.
- Sparse coding for machine learning, image processing and computer vision
- Deterministic Compressed Sensing
- A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification
- Proximal methods for convex minimization of Phi-divergences : application to computer vision.
- Successive Convex Approximation: Analysis and Applications
- Convergence analysis of the approximate proximal splitting method for non-smooth convex optimization
- The Ordered Weighted ℓ_1 Norm: Atomic Formulation, Dual Norm, and Projections.
- CMOS IMAGE SENSORS WITH COMPRESSIVE SENSING ACQUISITION
- Composite objective mirror descent
- Faster than Nyquist but Slower than Tropp et al
- Graph-Based Sparse Learning: Models, Algorithms, and Applications
- MATHEMATICAL ENGINEERING TECHNICAL REPORTS SpicyMKL
- Computational Optical Imaging Systems: Sensing Strategies, Optimization Methods, and Performance Bounds
- Regularization techniques based on Krylov subspace methods for ill-posed linear systems
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