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

Acoustic DoA Estimation by One Unsophisticated Sensor

Fast Robust PCA on Graphs

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Estimation Error of the Constrained Lasso

Compressive PCA for Low-Rank Matrices on Graphs

Structure Modeling of High Dimensional Data

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

Correcting for endogeneity using the EMIS method: a case study with revealed preference data

A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method

Total Variation Regularization of Shape Signals

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Correcting for endogeneity using the EMIS method: a case study with revealed preference data

Structure Modeling of High Dimensional Data

Acoustic DoA Estimation by One Unsophisticated Sensor

Estimation Error of the Constrained Lasso

Compressive PCA for Low-Rank Matrices on Graphs

Fast Robust PCA on Graphs

Total Variation Regularization of Shape Signals

A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method