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compressed sensing

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Showing 851–900 of 992 papers

TitleStatusHype
Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements—0
Reconstruction of Enhanced Ultrasound Images From Compressed Measurements Using Simultaneous Direction Method of Multipliers—0
Compressed Dynamic Mode Decomposition for Background Modeling—0
Sparse Dynamic 3D Reconstruction From Unsynchronized Videos—0
Universality laws for randomized dimension reduction, with applications—0
Sparse Recovery via Partial Regularization: Models, Theory and Algorithms—0
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications—0
Bayesian hypothesis testing for one bit compressed sensing with sensing matrix perturbation—0
Statistical physics of inference: Thresholds and algorithmsCode0
Sparse approximation by greedy algorithms—0
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing—0
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations—0
Bregman Iteration for Correspondence Problems: A Study of Optical Flow—0
A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation—0
Precise Phase Transition of Total Variation Minimization—0
Sequential Information Guided Sensing—0
Dictionary Learning for Blind One Bit Compressed Sensing—0
Light Efficient Flutter Shutter—0
Distributed Compressive Sensing: A Deep Learning Approach—0
Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization—0
Dictionary and Image Recovery from Incomplete and Random Measurements—0
Making sense of randomness: an approach for fast recovery of compressively sensed signals—0
Unknown sparsity in compressed sensing: Denoising and inference—0
Determination of Nonlinear Genetic Architecture using Compressed Sensing—0
Recursive Sparse Point Process Regression with Application to Spectrotemporal Receptive Field Plasticity Analysis—0
Projected Wirtinger Gradient Descent for Low-Rank Hankel Matrix Completion in Spectral Compressed Sensing—0
Robust Estimation of Self-Exciting Generalized Linear Models with Application to Neuronal ModelingCode0
Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization—0
Enhanced Lasso Recovery on Graph—0
Sparse Proteomics Analysis - A compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data—0
Optimal linear estimation under unknown nonlinear transform—0
Blind Compressive Sensing Framework for Collaborative Filtering—0
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?—0
Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging—0
Nearly Optimal Deterministic Algorithm for Sparse Walsh-Hadamard Transform—0
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices—0
Poisson Matrix Recovery and Completion—0
Compressed sensing MRI using masked DCT and DFT measurements—0
Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder—0
L_1-regularized Boltzmann machine learning using majorizer minimization—0
Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction—0
One Scan 1-Bit Compressed Sensing—0
Approximate Message Passing with Restricted Boltzmann Machine Priors—0
Projected Nesterov's Proximal-Gradient Algorithm for Sparse Signal Reconstruction with a Convex Constraint—0
Comparison of Algorithms for Compressed Sensing of Magnetic Resonance Images—0
Generalized Inpainting Method for Hyperspectral Image Acquisition—0
Ring artifacts correction in compressed sensing tomographic reconstruction—0
Parallel Magnetic Resonance Imaging—0
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI—0
Quantile universal threshold: model selection at the detection edge for high-dimensional linear regression—0
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