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compressed sensing

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Showing 551–600 of 992 papers

TitleStatusHype
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
Randomized Sketches of Convex Programs with Sharp Guarantees—0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis—0
Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement—0
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network—0
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease—0
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder—0
Real-time FPGA Design for OMP Targeting 8K Image Reconstruction—0
Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing—0
Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning—0
Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine—0
Reconstruction of Enhanced Ultrasound Images From Compressed Measurements Using Simultaneous Direction Method of Multipliers—0
Reconstruction of Sparse Signals under Gaussian Noise and Saturation—0
Recovering Block-structured Activations Using Compressive Measurements—0
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization—0
Recovery of sparse linear classifiers from mixture of responses—0
Recovery of Sparse Signals from a Mixture of Linear Samples—0
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery—0
Recursive Compressed Sensing—0
Recursive Sparse Point Process Regression with Application to Spectrotemporal Receptive Field Plasticity Analysis—0
Reduced Training Overhead for WLAN MU-MIMO Channel Feedback with Compressed Sensing—0
Reducing the impact of non-ideal PRBS on microwave photonic random demodulators by low biasing the optical modulator via PRBS amplitude compression—0
Consistent regression when oblivious outliers overwhelm—0
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices—0
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning—0
Removing Stripes, Scratches, and Curtaining with Non-Recoverable Compressed Sensing—0
Research on Personalized Compression Algorithm for Pre-trained Models Based on Homomorphic Entropy Increase—0
Restricted Isometry Property of Gaussian Random Projection for Finite Set of Subspaces—0
Restricted Isometry Property under High Correlations—0
Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs—0
Review of Extreme Multilabel Classification—0
Rigorous Restricted Isometry Property of Low-Dimensional Subspaces—0
Ring artifacts correction in compressed sensing tomographic reconstruction—0
RIP sensing matrices construction for sparsifying dictionaries with application to MRI imaging—0
RIS-Position and Orientation Estimation in MIMO-OFDM Systems with Practical Scatterers—0
Robust 1-bit Compressed Sensing with Iterative Hard Thresholding—0
Robust Bayesian Compressed sensing—0
Robust Compressed Sensing and Sparse Coding with the Difference Map—0
Robust Compressed Sensing MR Imaging with Deep Generative Priors—0
Robust Compressed Sensing Under Matrix Uncertainties—0
Robust Depth Linear Error Decomposition with Double Total Variation and Nuclear Norm for Dynamic MRI Reconstruction—0
Robust Dequantized Compressive Sensing—0
Robust image reconstruction from multi-view measurements—0
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis—0
Robust One-Bit Recovery via ReLU Generative Networks: Improved Statistical Rate and Global Landscape Analysis—0
Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction—0
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