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compressed sensing

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Showing 951–992 of 992 papers

TitleStatusHype
Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning—0
Short Term Memory Capacity in Networks via the Restricted Isometry Property—0
Compressive Coded Aperture Keyed Exposure Imaging with Optical Flow Reconstruction—0
Near-Optimal Adaptive Compressed Sensing—0
Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm—0
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-rank Matrices—0
Compressed Hashing—0
Corrupted Sensing: Novel Guarantees for Separating Structured Signals—0
Robust Spectral Compressed Sensing via Structured Matrix Completion—0
Spectral Compressed Sensing via Structured Matrix Completion—0
A problem dependent analysis of SOCP algorithms in noisy compressed sensing—0
Sample Distortion for Compressed Imaging—0
Metrics for Multivariate DictionariesCode0
Multiclass Data Segmentation using Diffuse Interface Methods on Graphs—0
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI—0
Coherence and sufficient sampling densities for reconstruction in compressed sensing—0
Robust image reconstruction from multi-view measurements—0
Feature Clustering for Accelerating Parallel Coordinate Descent—0
Multilabel Classification using Bayesian Compressed Sensing—0
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning—0
Near-optimal compressed sensing guarantees for total variation minimization—0
Recovering Block-structured Activations Using Compressive Measurements—0
Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection—0
Robust Dequantized Compressive Sensing—0
Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware—0
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning—0
Dimensionality Reduction Using the Sparse Linear Model—0
Neural Reconstruction with Approximate Message Passing (NeuRAMP)—0
Universal low-rank matrix recovery from Pauli measurements—0
Orthogonal Matching Pursuit with Replacement—0
Compressed sensing of astronomical images:orthogonal wavelets domains—0
Joint reconstruction of multiecho MR images using correlated sparsity—0
Tensor completion and low-n-rank tensor recovery via convex optimization—0
Short-term memory in neuronal networks through dynamical compressed sensing—0
Probabilistic Multi-Task Feature Selection—0
Task-Driven Dictionary Learning—0
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions—0
GraphLab: A New Framework for Parallel Machine LearningCode0
On the Achievability of Cramér-Rao Bound In Noisy Compressed Sensing—0
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing—0
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing—0
An Homotopy Algorithm for the Lasso with Online Observations—0
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