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compressed sensing

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TitleStatusHype
Efficient Structured Matrix Rank Minimization—0
Predicting Useful Neighborhoods for Lazy Local Learning—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
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
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