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compressed sensing

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Showing 751–800 of 992 papers

TitleStatusHype
Optimal Vector Compressed Sensing Using James Stein Shrinkage—0
Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification—0
Optimization methods for MR image reconstruction (long version)—0
Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization—0
Optimized projections for compressed sensing via rank-constrained nearest correlation matrix—0
Optimizing Codes for Source Separation in Color Image Demosaicing and Compressive Video Recovery—0
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework—0
Orthogonal Matching Pursuit with Replacement—0
OUTCOMES: Rapid Under-sampling Optimization achieves up to 50% improvements in reconstruction accuracy for multi-contrast MRI sequences—0
Over-and-Under Complete Convolutional RNN for MRI Reconstruction—0
Over-the-Air Federated Learning with Compressed Sensing: Is Sparsification Necessary?—0
Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing—0
Parallel Magnetic Resonance Imaging—0
Parameter Convergence Detector Based on VAMP Deep Unfolding: A Novel Radar Constant False Alarm Rate Detection Algorithm—0
Parametrized Stacked Intelligent Metasurfaces for Bistatic Integrated Sensing and Communications—0
Parseval Convolution Operators and Neural Networks—0
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery—0
Perfect reconstruction of sparse signals with piecewise continuous nonconvex penalties and nonconvexity control—0
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI—0
Photon counting compressive depth mapping—0
Physics-assisted Deep Learning for FMCW Radar Quantitative Imaging of Two-dimension Target—0
Physics-Based Learned Diffuser for Single-shot 3D Imaging—0
Physics-driven generative adversarial networks empower single-pixel infrared hyperspectral imaging—0
Physics-informed compressed sensing for PC-MRI: an inverse Navier-Stokes problem—0
Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI—0
On Exact and Robust Recovery for Plug-and-Play Compressed Sensing—0
Plug-And-Play Learned Gaussian-mixture Approximate Message Passing—0
Poisson Matrix Recovery and Completion—0
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning—0
Precise asymptotics for phase retrieval and compressed sensing with random generative priors—0
Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm—0
Precise Phase Transition of Total Variation Minimization—0
Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional (d 2) Off-the-Grid Frequencies—0
Predicting Useful Neighborhoods for Lazy Local Learning—0
Probabilistic Multi-Task Feature Selection—0
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models—0
Process of image super-resolution—0
Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging—0
Projected Nesterov's Proximal-Gradient Algorithm for Sparse Signal Reconstruction with a Convex Constraint—0
Projected Wirtinger Gradient Descent for Low-Rank Hankel Matrix Completion in Spectral Compressed Sensing—0
Provable Compressed Sensing with Generative Priors via Langevin Dynamics—0
Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction—0
PS-Net: Learned Partially Separable Model for Dynamic MR Imaging—0
Pulse Processing -- Overview and Challenges—0
QISTA-Net: DNN Architecture to Solve _q-norm Minimization Problem and Image Compressed Sensing—0
Quantile universal threshold: model selection at the detection edge for high-dimensional linear regression—0
Quantization Algorithms for Random Fourier Features—0
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery—0
Quantum Compressed Sensing with Unsupervised Tensor-Network Machine Learning—0
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data—0
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