Pages that link to "Item:Q5273564"

The following pages link to Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise (Q5273564):

Displaying 50 items.

• Greedy algorithms for prediction (Q265302) (← links)
• Nearly optimal minimax estimator for high-dimensional sparse linear regression (Q385791) (← links)
• The \(L_1\) penalized LAD estimator for high dimensional linear regression (Q391806) (← links)
• Sparse regression and support recovery with \(\mathbb{L}_2\)-boosting algorithms (Q466526) (← links)
• Robustness of orthogonal matching pursuit under restricted isometry property (Q476748) (← links)
• Enhancing \(\ell_1\)-minimization estimates of polynomial chaos expansions using basis selection (Q729190) (← links)
• Sparse recovery via differential inclusions (Q739470) (← links)
• Compressive sensing-based wind speed estimation for low-altitude wind-shear with airborne phased array radar (Q784564) (← links)
• A primal dual active set with continuation algorithm for the \(\ell^0\)-regularized optimization problem (Q890462) (← links)
• Sparsity and incoherence in orthogonal matching pursuit (Q1710949) (← links)
• Using B-spline frames to represent solutions of acoustics scattering problems (Q1715829) (← links)
• Distributed Kalman-consensus filtering for sparse signal estimation (Q1717733) (← links)
• Sharp fixed \(n\) bounds and asymptotic expansions for the mean and the median of a Gaussian sample maximum, and applications to the Donoho-Jin model (Q1731213) (← links)
• Nonuniform support recovery from noisy random measurements by orthogonal matching pursuit (Q1935492) (← links)
• Sparse total least squares: analysis and greedy algorithms (Q1938584) (← links)
• Efficiency of orthogonal super greedy algorithm under the restricted isometry property (Q2067856) (← links)
• Super-resolution for doubly-dispersive channel estimation (Q2073137) (← links)
• Partial gradient optimal thresholding algorithms for a class of sparse optimization problems (Q2079693) (← links)
• A convex relaxation framework consisting of a primal-dual alternative algorithm for solving \(\ell_0\) sparsity-induced optimization problems with application to signal recovery based image restoration (Q2095175) (← links)
• Search for sparse solutions of super-large systems with a tensor structure (Q2101411) (← links)
• Sparse high-dimensional linear regression. Estimating squared error and a phase transition (Q2131259) (← links)
• A modified orthogonal matching pursuit for construction of sparse probabilistic Boolean networks (Q2139749) (← links)
• Learning mean-field equations from particle data using WSINDy (Q2167982) (← links)
• Fast overcomplete dictionary construction with probabilistic guarantees (Q2198175) (← links)
• Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction (Q2198239) (← links)
• Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method (Q2206064) (← links)
• A penalized h-likelihood variable selection algorithm for generalized linear regression models with random effects (Q2210294) (← links)
• A look at robustness and stability of \(\ell_1\)-versus \(\ell_0\)-regularization: discussion of papers by Bertsimas et al. and Hastie et al. (Q2225318) (← links)
• A perturbation analysis based on group sparse representation with orthogonal matching pursuit (Q2232085) (← links)
• A sequential approach to feature selection in high-dimensional additive models (Q2242862) (← links)
• Sparse signals recovery from noisy measurements by orthogonal matching pursuit (Q2254767) (← links)
• Boosting with structural sparsity: a differential inclusion approach (Q2278448) (← links)
• Truncated sparse approximation property and truncated \(q\)-norm minimization (Q2322801) (← links)
• Sharp sufficient conditions for stable recovery of block sparse signals by block orthogonal matching pursuit (Q2330942) (← links)
• Preconditioning for orthogonal matching pursuit with noisy and random measurements: the Gaussian case (Q2338338) (← links)
• Estimation and variable selection with exponential weights (Q2447091) (← links)
• Growing axons: greedy learning of neural networks with application to function approximation (Q2689211) (← links)
• An Improved RIP-Based Performance Guarantee for Sparse Signal Recovery via Orthogonal Matching Pursuit (Q2986182) (← links)
• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit (Q3549018) (← links)
• (Q4558147) (← links)
• Orthogonal Matching Pursuit: A Brownian Motion Analysis (Q4573528) (← links)
• Generalized Orthogonal Matching Pursuit (Q4574174) (← links)
• Projection Matrix Optimization for Sparse Signals in Structured Noise (Q4580704) (← links)
• On the Noise Robustness of Simultaneous Orthogonal Matching Pursuit (Q4620594) (← links)
• Sequential Lasso Cum EBIC for Feature Selection With Ultra-High Dimensional Feature Space (Q4975573) (← links)
• (Q4986368) (← links)
• Binary sparse signal recovery with binary matching pursuit ^* (Q4993901) (← links)
• Feature Selection by Canonical Correlation Search in High-Dimensional Multiresponse Models With Complex Group Structures (Q5120660) (← links)
• A survey on compressive sensing: classical results and recent advancements (Q5855706) (← links)
• Bayesian Kernel Regression for Noisy Inputs Based on Nadaraya–Watson Estimator Constructed from Noiseless Training Data (Q5858144) (← links)