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compressed sensing

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Showing 901–950 of 992 papers

TitleStatusHype
Efficient Structured Matrix Rank Minimization—0
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect—0
Compressed Sensing With Side Information: Geometrical Interpretation and Performance BoundsCode0
Compressed Sensing with Very Sparse Gaussian Random Projections—0
Matrix Coherence and the Nystrom Method—0
GraphLab: A New Framework For Parallel Machine Learning—0
Compressed sensing for longitudinal MRI: An adaptive-weighted approach—0
Info-Greedy sequential adaptive compressed sensing—0
A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model and Compressed Sparse FOMFE Model—0
Compressive Imaging and Characterization of Sparse Light Deflection Maps—0
From Denoising to Compressed SensingCode1
Structured Dictionary Learning for Classification—0
Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI—0
On the Computational Intractability of Exact and Approximate Dictionary Learning—0
Randomized Sketches of Convex Programs with Sharp Guarantees—0
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals—0
Geometric Inference for General High-Dimensional Linear Inverse Problems—0
A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing—0
Compressive Hyperspectral Imaging Using Progressive Total Variation—0
A Primal Dual Active Set with Continuation Algorithm for the ^0-Regularized Optimization Problem—0
Machine Learning Methods in the Computational Biology of Cancer—0
A convergence proof of the split Bregman method for regularized least-squares problems—0
Sparsity averaging for radio-interferometric imaging—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
Near-Ideal Behavior of Compressed Sensing Algorithms—0
Multi Terminal Probabilistic Compressed Sensing—0
Sparse Recovery with Very Sparse Compressed Counting—0
Recursive Compressed Sensing—0
Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification—0
Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional (d 2) Off-the-Grid Frequencies—0
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions—0
Blind Calibration in Compressed Sensing using Message Passing Algorithms—0
Efficient Learning and Planning with Compressed Predictive States—0
Robust Compressed Sensing Under Matrix Uncertainties—0
Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities—0
The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive VideoCode0
Toward a unified theory of sparse dimensionality reduction in Euclidean space—0
Robust Compressed Sensing and Sparse Coding with the Difference Map—0
Compressed Sensing SAR Imaging with Multilook Processing—0
A Novel Progressive Image Scanning and Reconstruction Scheme based on Compressed Sensing and Linear Prediction—0
Spatially Scalable Compressed Image Sensing with Hybrid Transform and Inter-layer Prediction Model—0
Compressed Counting Meets Compressed Sensing—0
Scan-based Compressed Terahertz Imaging and Real-Time Reconstruction via the Complex-valued Fast Block Sparse Bayesian Learning Algorithm—0
Photon counting compressive depth mapping—0
Optimized projections for compressed sensing via rank-constrained nearest correlation matrix—0
Compressed Sensing for Block-Sparse Smooth Signals—0
Demodulation of Sparse PPM Signals with Low Samples Using Trained RIP Matrix—0
Compressed Sensing Off the Grid—0
Online Optimization in Dynamic Environments—0
Universally Elevating the Phase Transition Performance of Compressed Sensing: Non-Isometric Matrices are Not Necessarily Bad Matrices—0
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