The following pages link to Compressed sensing (Q5900527):
Displaying 50 items.
- An inexact quasi-Newton algorithm for large-scale \(\ell_1\) optimization with box constraints (Q6064946) (← links)
- Sparse reconstruction via the mixture optimization model with iterative support estimate (Q6065953) (← links)
- (Q6073213) (← links)
- Neural network for a class of sparse optimization with \(L_0\)-regularization (Q6077003) (← links)
- Statistical guarantees for regularized neural networks (Q6079063) (← links)
- A theory of capacity and sparse neural encoding (Q6079092) (← links)
- Variable selection in saturated and supersaturated designs via lp-lq minimization (Q6082996) (← links)
- M-IHS: an accelerated randomized preconditioning method avoiding costly matrix decompositions (Q6083984) (← links)
- Perturbation upper bounds for singular subspaces with a kind of heteroskedastic noise and its application in clustering (Q6087610) (← links)
- A framework of regularized low-rank matrix models for regression and classification (Q6089218) (← links)
- Expectation maximization based sparse identification of cyberphysical system (Q6089856) (← links)
- Analysis of sparse recovery for Legendre expansions using envelope bound (Q6090395) (← links)
- Facets of spherical random polytopes (Q6093886) (← links)
- Deep-OSG: deep learning of operators in semigroup (Q6094763) (← links)
- Characterization of energy transfer and triadic interactions of coherent structures in turbulent wakes (Q6096865) (← links)
- A unified analysis of convex and non-convex \(\ell_p\)-ball projection problems (Q6097485) (← links)
- Nonconvex \(L_{1/2}\)-regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction (Q6099823) (← links)
- A unified approach to uniform signal recovery from nonlinear observations (Q6101267) (← links)
- Accelerated sparse recovery via gradient descent with nonlinear conjugate gradient momentum (Q6101532) (← links)
- A dual active set method for \(\ell1\)-regularized problem (Q6102865) (← links)
- Sparse machine learning in Banach spaces (Q6106931) (← links)
- A generalized inertial proximal alternating linearized minimization method for nonconvex nonsmooth problems (Q6106955) (← links)
- Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data (Q6107664) (← links)
- Support Recovery and Parameter Identification of Multivariate ARMA Systems with Exogenous Inputs (Q6107866) (← links)
- Generalized Sparse Bayesian Learning and Application to Image Reconstruction (Q6109163) (← links)
- Faster randomized block sparse Kaczmarz by averaging (Q6109882) (← links)
- Random sections of \(\ell_p\)-ellipsoids, optimal recovery and Gelfand numbers of diagonal operators (Q6110421) (← links)
- A real-time identification method of network structure in complex network systems (Q6111213) (← links)
- Accelerated smoothing hard thresholding algorithms for \(\ell_0\) regularized nonsmooth convex regression problem (Q6111359) (← links)
- Sequential edge detection using joint hierarchical Bayesian learning (Q6111678) (← links)
- Sorted \(L_1/L_2\) minimization for sparse signal recovery (Q6120011) (← links)
- Kernel functions embed into the autoencoder to identify the sparse models of nonlinear dynamics (Q6121868) (← links)
- A wonderful triangle in compressed sensing (Q6122304) (← links)
- Inverse parameter estimation using compressed sensing and POD-RBF reduced order models (Q6125474) (← links)
- A Variable Density Sampling Scheme for Compressive Fourier Transform Interferometry (Q6133995) (← links)
- Sparse control for continuous‐time systems (Q6136594) (← links)
- Codes for exact support recovery of sparse vectors from inaccurate linear measurements and their decoding (Q6137610) (← links)
- Sparse subsampling of flow measurements for finite-time Lyapunov exponent in domains with obstacles (Q6137782) (← links)
- An inertial alternating minimization with Bregman distance for a class of nonconvex and nonsmooth problems (Q6138306) (← links)
- Multi-component separation, inpainting and denoising with recovery guarantees (Q6138782) (← links)
- Binary generalized orthogonal matching pursuit (Q6139330) (← links)
- Linear inverse problems with Hessian-Schatten total variation (Q6140828) (← 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)
- Self-Supervised Deep Learning for Image Reconstruction: A Langevin Monte Carlo Approach (Q6144068) (← links)
- Discrete-time scale-shift approach for wavelet construction and analysis (Q6148329) (← links)
- LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing (Q6148354) (← links)
- Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery (Q6148403) (← links)
- Tsallis entropy based uncertainty relations on sparse representation for vector and matrix signals (Q6150415) (← links)
