The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- Noisy low-rank matrix completion under general bases (Q6541602) (← links)
- Learning sparsity-promoting regularizers using bilevel optimization (Q6541902) (← links)
- Learning weakly convex regularizers for convergent image-reconstruction algorithms (Q6541905) (← links)
- Short proofs of ideal membership (Q6543081) (← links)
- Some mathematical characteristics in sparse control for linear time-varying systems (Q6545358) (← links)
- Stable recovery of approximately block \(k\)-sparse signals with partial block support information via weighted \(\ell_2/\ell_p\) (\(0 < p \leq 1\)) minimization (Q6546494) (← links)
- A greedy average block sparse Kaczmarz method for sparse solutions of linear systems (Q6549107) (← links)
- Tractability of sampling recovery on unweighted function classes (Q6550282) (← links)
- Improved heuristics for solving large-scale scanning transmission electron microscopy image segmentation using the ordered median problem (Q6551124) (← links)
- Tensor sparse representation via Einstein product (Q6552661) (← links)
- Finding nonlinear system equations and complex network structures from data: a sparse optimization approach (Q6556901) (← links)
- A scalable sphere-constrained magnitude-sparse SAR imaging (Q6561480) (← links)
- A fast and effective algorithm for sparse linear regression with \(\ell_p\)-norm data fidelity and elastic net regularization (Q6561486) (← links)
- Robust nonconvex sparse optimization for impact force identification (Q6564379) (← links)
- A reliable iteration algorithm for one-bit compressive sensing on the unit sphere (Q6565536) (← links)
- Regularized least absolute deviation-based sparse identification of dynamical systems (Q6571784) (← links)
- Learning about structural errors in models of complex dynamical systems (Q6572173) (← links)
- Sparse recovery under nonnegativity and sum-to-one constraints (Q6576943) (← links)
- Square root LASSO: well-posedness, Lipschitz stability, and the tuning trade-off (Q6580000) (← links)
- Uniform RIP analysis for the \(\ell_p- \omega \ell_q\) minimization (Q6582054) (← links)
- High-order block RIP for nonconvex block-sparse compressed sensing (Q6583081) (← links)
- Fast iterative regularization by reusing data (Q6583087) (← links)
- Cardinality-constrained structured data-fitting problems (Q6584338) (← links)
- Cardinality minimization, constraints, and regularization: a survey (Q6585278) (← links)
- Dual formulation of the sparsity constrained optimization problem: application to classification (Q6585821) (← links)
- Uniqueness of phase retrieval with short-time linear canonical transform (Q6587599) (← links)
- Hyperparameter estimation for sparse Bayesian learning models (Q6587624) (← links)
- Tight-frame-like analysis-sparse recovery using nontight sensing matrices (Q6587659) (← links)
- A Levenberg-Marquardt method for nonsmooth regularized least squares (Q6590132) (← links)
- A stochastic two-step inertial Bregman proximal alternating linearized minimization algorithm for nonconvex and nonsmooth problems (Q6590593) (← links)
- A two-metric variable scaled forward-backward algorithm for \(\ell_0\) optimization problem and its applications (Q6590598) (← links)
- Sparse recovery with coherent frames via \(\ell_{1-2}\)-analysis (Q6591729) (← links)
- The sparse Kaczmarz method with surrogate hyperplane for the regularized basis pursuit problem (Q6593333) (← links)
- A nonmonotone accelerated proximal gradient method with variable stepsize strategy for nonsmooth and nonconvex minimization problems (Q6593828) (← links)
- Inexact fixed-point proximity algorithm for the \(\ell_0\) sparse regularization problem (Q6594655) (← links)
- Robust subgaussian estimation with VC-dimension (Q6596223) (← links)
- Compressed data separation via \(\ell_q\)-split analysis with \(\ell_\infty\)-constraint (Q6596308) (← links)
- The stable reconstruction of strongly-decaying block sparse signals (Q6597929) (← links)
- Statistical inference under the strongly spiked eigenvalue model (Q6601514) (← links)
- Iterative gradient denoising algorithm for signal recovery using analysis-based implicit prior (Q6611327) (← links)
- Convergence analysis on the alternating direction method of multipliers for the cosparse optimization problem (Q6616925) (← links)
- Sparse recovery based on the generalized error function (Q6616997) (← links)
- Iteratively Refined Image Reconstruction with Learned Attentive Regularizers (Q6618022) (← links)
- Global aspects of the continuous reformulation for cardinality-constrained optimization problems (Q6618211) (← links)
- Using \(\ell^1\)-regularization for shock capturing in discontinuous Galerkin methods (Q6620235) (← links)
- Nonlinear representation and dimensionality reduction (Q6620616) (← links)
- Deep learning for ill posed inverse problems in medical imaging (Q6620625) (← links)
- Leveraging memory effects and gradient information in consensus-based optimisation: on global convergence in mean-field law (Q6622995) (← links)
- Uniform recovery guarantees for quantized corrupted sensing using structured or generative priors (Q6623969) (← links)
- Machine learning methods for reduced order modeling (Q6629175) (← links)
