Publications associées à Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

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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 of Simultaneous Low-Rank and Joint-Sparse Matrices

Graph Chatbot

Chattez avec Graph Search

Structure from sound with incomplete data

Acoustic DoA Estimation by One Unsophisticated Sensor

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Estimation Error of the Constrained Lasso

Compressive PCA for Low-Rank Matrices on Graphs

Signal structure: from manifolds to molecules and structured sparsity

Robust Principal Component Analysis on Graphs

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

PURIFY: a new approach to radio-interferometric imaging

Jump-Sparse and Sparse Recovery Using Potts Functionals

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Acoustic DoA Estimation by One Unsophisticated Sensor

Signal structure: from manifolds to molecules and structured sparsity

Compressive PCA for Low-Rank Matrices on Graphs

Estimation Error of the Constrained Lasso

Structure from sound with incomplete data

Robust Principal Component Analysis on Graphs

A Modulated Closed Form solution for Quantitative Susceptibility Mapping - A thorough evaluation and comparison to iterative methods based on edge prior knowledge

Jump-Sparse and Sparse Recovery Using Potts Functionals

PURIFY: a new approach to radio-interferometric imaging