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compressed sensing

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Showing 701–750 of 992 papers

TitleStatusHype
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties—0
Compressed Sensing Using Binary Matrices of Nearly Optimal DimensionsCode0
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling—0
Sub-Nyquist Radar Systems: Temporal, Spectral and Spatial Compression—0
Adaptive Hierarchical Sensing for the Efficient Sampling of Sparse and Compressible Signals—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
Make _1 Regularization Effective in Training Sparse CNN—0
Modeling Sparse Deviations for Compressed Sensing using Generative ModelsCode0
Fast Fourier-Based Generation of the Compression Matrix for Deterministic Compressed Sensing—0
Adversarial and Perceptual Refinement for Compressed Sensing MRI ReconstructionCode0
Learning a Compressed Sensing Measurement Matrix via Gradient UnrollingCode0
Are good local minima wide in sparse recovery?—0
Algorithms for the Construction of Incoherent Frames Under Various Design ConstraintsCode0
Deep neural network based sparse measurement matrix for image compressed sensingCode0
Compressed Sensing with Deep Image Prior and Learned RegularizationCode0
1-bit Localization Scheme for Radar using Dithered Quantized Compressed Sensing—0
Novel Light Weight Compressed Data Aggregation Using Sparse Measurements for IoT Networks—0
Efficient and Scalable Batch Bayesian Optimization Using K-Means—0
Neural Proximal Gradient Descent for Compressive ImagingCode0
Compressed Sensing ECG using Restricted Boltzmann Machines—0
Statistical mechanical analysis of sparse linear regression as a variable selection problem—0
Unsupervised Learning with Stein's Unbiased Risk EstimatorCode0
Compressed Sensing of Scanning Transmission Electron Microscopy (STEM) on Non-Rectangular ScansCode0
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network—0
A refined convergence analysis of pDCA_e with applications to simultaneous sparse recovery and outlier detection—0
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratiosCode0
Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling—0
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction—0
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI—0
A Compressed Sensing Approach for Distribution Matching—0
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks—0
Copula Variational Bayes inference via information geometryCode0
A Divide-and-Conquer Approach to Compressed Sensing MRI—0
SUNLayer: Stable denoising with generative networks—0
Deep Convolutional Compressed Sensing for LiDAR Depth Completion—0
A Deep Error Correction Network for Compressed Sensing MRI—0
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease—0
Model-Based Photoacoustic Image Reconstruction using Compressed Sensing and Smoothed L0 Norm—0
Low Intensity LiDAR using Compressed Sensing and a Photon Number Resolving Detector—0
Joint Estimation of Room Geometry and Modes with Compressed Sensing—0
Multispectral Compressive Imaging Strategies using Fabry-Pérot Filtered Sensors—0
Task-Aware Compressed Sensing with Generative Adversarial NetworksCode0
Rigorous Restricted Isometry Property of Low-Dimensional Subspaces—0
Fast binary embeddings, and quantized compressed sensing with structured matrices—0
Image Acquisition System Using On Sensor Compressed Sampling Technique—0
Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints—0
Indian Regional Movie Dataset for Recommender SystemsCode0
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMsCode0
Atomic radius and charge parameter uncertainty in biomolecular solvation energy calculations—0
Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep LearningCode0
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