Publications associées à Jump-Sparse and Sparse Recovery Using Potts Functionals

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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

Jump-Sparse and Sparse Recovery Using Potts Functionals

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Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography

On the lower semicontinuous envelope of functionals defined on polyhedral chains

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Computational Methods for Underdetermined Convolutive Speech Localization and Separation via Model-based Sparse Component Analysis

Sparse molecular image representation

‪Stochastic Control-A Moment Approach to Sparse Control Design‬

Estimation Error of the Constrained Lasso

Signal structure: from manifolds to molecules and structured sparsity

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

Convex Optimization Approaches for Blind Sensor Calibration using Sparsity

On the lower semicontinuous envelope of functionals defined on polyhedral chains

Sparse molecular image representation

Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography

‪Stochastic Control-A Moment Approach to Sparse Control Design‬

Estimation Error of the Constrained Lasso

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Signal structure: from manifolds to molecules and structured sparsity

Computational Methods for Underdetermined Convolutive Speech Localization and Separation via Model-based Sparse Component Analysis

Convex Optimization Approaches for Blind Sensor Calibration using Sparsity

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