The following pages link to Decoding by Linear Programming (Q3546644):
Displaying 50 items.
- Structured sparsity through convex optimization (Q5965303) (← links)
- A unified framework for high-dimensional analysis of \(M\)-estimators with decomposable regularizers (Q5965308) (← links)
- A general theory of concave regularization for high-dimensional sparse estimation problems (Q5965310) (← links)
- Improved RIP-based bounds for guaranteed performance of two compressed sensing algorithms (Q6041666) (← links)
- Algebraic compressed sensing (Q6042618) (← links)
- Iterative hard thresholding for low CP-rank tensor models (Q6042723) (← links)
- Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints (Q6051303) (← links)
- Sparse optimization via vector \(k\)-norm and DC programming with an application to feature selection for support vector machines (Q6051312) (← links)
- Global convergence of the gradient method for functions definable in o-minimal structures (Q6052062) (← links)
- Heuristics for Finding Sparse Solutions of Linear Inequalities (Q6053490) (← links)
- Block-sparse recovery and rank minimization using a weighted \(l_p-l_q\) model (Q6062413) (← links)
- Sparse reconstruction via the mixture optimization model with iterative support estimate (Q6065953) (← links)
- Convergence of the Momentum Method for Semialgebraic Functions with Locally Lipschitz Gradients (Q6071885) (← links)
- Smoothing inertial neurodynamic approach for sparse signal reconstruction via \(L_p\)-norm minimization (Q6078747) (← links)
- Weighted sparsity regularization for source identification for elliptic PDEs (Q6080354) (← links)
- A variable projection method for large-scale inverse problems with \(\ell^1\) regularization (Q6086881) (← links)
- Communication-efficient estimation for distributed subset selection (Q6089198) (← links)
- A framework of regularized low-rank matrix models for regression and classification (Q6089218) (← links)
- Approximation Analysis of Convolutional Neural Networks (Q6090346) (← links)
- Secure state estimation for cyber-physical systems by unknown input observer with adaptive switching mechanism (Q6095613) (← links)
- A unified analysis of convex and non-convex \(\ell_p\)-ball projection problems (Q6097485) (← links)
- Doubly iteratively reweighted algorithm for constrained compressed sensing models (Q6097766) (← links)
- Proximal variable metric method with spectral diagonal update for large scale sparse optimization (Q6099831) (← links)
- Study on \(L_1\) over \(L_2\) Minimization for nonnegative signal recovery (Q6101685) (← links)
- From irrevocably modulated filtrations to dynamical equations over random networks (Q6103739) (← links)
- Support Recovery and Parameter Identification of Multivariate ARMA Systems with Exogenous Inputs (Q6107866) (← links)
- Sorted \(L_1/L_2\) minimization for sparse signal recovery (Q6120011) (← links)
- A wonderful triangle in compressed sensing (Q6122304) (← links)
- A Variable Density Sampling Scheme for Compressive Fourier Transform Interferometry (Q6133995) (← links)
- Heavy-ball-based optimal thresholding algorithms for sparse linear inverse problems (Q6134435) (← links)
- Spatial feature extraction non-negative tensor factorization for hyperspectral unmixing (Q6135569) (← links)
- Heavy-ball-based hard thresholding algorithms for sparse signal recovery (Q6137779) (← links)
- Binary generalized orthogonal matching pursuit (Q6139330) (← links)
- Stable recovery of weighted sparse signals from phaseless measurements via weighted <i>l</i><sub>1</sub> minimization (Q6141651) (← links)
- Sampling rates for \(\ell^1\)-synthesis (Q6142336) (← links)
- \(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery (Q6144050) (← links)
- Jointly evolving and compressing fuzzy system for feature reduction and classification (Q6146025) (← links)
- LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing (Q6148354) (← links)
- Tsallis entropy based uncertainty relations on sparse representation for vector and matrix signals (Q6150415) (← links)
- Nonconvex \(\ell_p-\alpha\ell_q\) minimization method and \(p\)-RIP condition for stable recovery of approximately \(k\)-sparse signals (Q6151971) (← links)
- Regularising inverse problems with generative machine learning models (Q6154435) (← links)
- Enhanced total variation minimization for stable image reconstruction (Q6162738) (← links)
- Distributed sparse identification for stochastic dynamic systems under cooperative non-persistent excitation condition (Q6164057) (← links)
- A reduced half thresholding algorithm (Q6164988) (← links)
- (Q6167151) (← links)
- Relative Lipschitz-like Property of Parametric Systems via Projectional Coderivatives (Q6176422) (← links)
- A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems (Q6177008) (← links)
- A tight bound of modified iterative hard thresholding algorithm for compressed sensing. (Q6177911) (← links)
- Facets of high-dimensional Gaussian polytopes (Q6181329) (← links)
- Some results on OMP algorithm for MMV problem (Q6181820) (← links)
