Publications associées à Compressed Sensing For Multi-View Tracking And 3-D Voxel Reconstruction

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Estimation Error of the Constrained Lasso

Volkan Cevher, Yen-Huan Li, Ya-Ping Hsieh, Nissim Zerbib

This paper presents a non-asymptotic upper bound for the estimation error of the constrained lasso, under the high-dimensional (

n \ll p

) setting. In contrast to existing results, the error bound in this paper is sharp, is valid when the parameter to be e ...

2016

Compressed Sensing For Multi-View Tracking And 3-D Voxel Reconstruction

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Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Joint Estimation Of The Room Geometry And Modes With Compressed Sensing

Super Resolution Phase Retrieval for Sparse Signals

Sparse molecular image representation

Estimation Error of the Constrained Lasso

Compressed Sensing of Memoryless Sources

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

Jump-Sparse and Sparse Recovery Using Potts Functionals

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Compressed Sensing of Memoryless Sources

Joint Estimation Of The Room Geometry And Modes With Compressed Sensing

Estimation Error of the Constrained Lasso

Super Resolution Phase Retrieval for Sparse Signals

Sparse molecular image representation

Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning

Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences

Jump-Sparse and Sparse Recovery Using Potts Functionals

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution