Pages that link to "Item:Q5281472"

The following pages link to Information-Theoretic Limits on Sparse Signal Recovery: Dense versus Sparse Measurement Matrices (Q5281472):

Displaying 18 items.

• Sharp support recovery from noisy random measurements by \(\ell_1\)-minimization (Q427066) (← links)
• Compressive sampling and rapid reconstruction of broadband frequency hopping signals with interference (Q736865) (← links)
• A novel probabilistic approach for vehicle position prediction in free, partial, and full GPS outages (Q1664919) (← links)
• Sparse classification: a scalable discrete optimization perspective (Q2071494) (← links)
• Feature selection for data integration with mixed multiview data (Q2078739) (← links)
• The all-or-nothing phenomenon in sparse linear regression (Q2078961) (← links)
• Sparse high-dimensional linear regression. Estimating squared error and a phase transition (Q2131259) (← links)
• Iterative algorithm for discrete structure recovery (Q2131266) (← links)
• Which bridge estimator is the best for variable selection? (Q2215760) (← links)
• Sparse regression: scalable algorithms and empirical performance (Q2225311) (← links)
• A note on the asymptotic distribution of lasso estimator for correlated data (Q2392488) (← links)
• Sparse sensor placement optimization for classification (Q2829445) (← links)
• Note on sparsity in signal recovery and in matrix identification (Q3192763) (← links)
• Compressive Classification: Where Wireless Communications Meets Machine Learning (Q3460843) (← links)
• An Information-Theoretic Study for Joint Sparsity Pattern Recovery With Different Sensing Matrices (Q4589393) (← links)
• Information-Theoretic Limits on Sparsity Recovery in the High-Dimensional and Noisy Setting (Q4974108) (← links)
• On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements (Q5346147) (← links)
• Measurement Bounds for Sparse Signal Ensembles via Graphical Models (Q5346457) (← links)