Publications associées à Sparsity-Based Data Reconstruction Models for Biomedical Imaging

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Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Joachim Krieger

For the radial energy-supercritical nonlinear wave equation

\Box u = -u_{tt} + \triangle u = \pm u^7

\R^{3+1}

, we prove the existence of a class of global in forward time

C^\infty

-smooth solutions with infinite critical Sobolev norm $\dot{H}^{\f ...

Springer Verlag2014

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

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Jump-Sparse and Sparse Recovery Using Potts Functionals

Metric Learning with Rank and Sparsity Constraints

Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Poisson Image Reconstruction With Hessian Schatten-Norm Regularization

Sparse Distributed Learning Based on Diffusion Adaptation

On Sparsity Averaging

Sparsity averaging for radio-interferometric imaging

3D Poisson Microscopy Deconvolution With Hessian Schatten-Norm Regularization

Sparse image reconstruction on the sphere: implications of a new sampling theorem

A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs

Sparse Distributed Learning Based on Diffusion Adaptation

Sparsity averaging for radio-interferometric imaging

A Sequential Topic Model for Mining Recurrent Activities from Long Term Video Logs

On Sparsity Averaging

3D Poisson Microscopy Deconvolution With Hessian Schatten-Norm Regularization

Jump-Sparse and Sparse Recovery Using Potts Functionals

Metric Learning with Rank and Sparsity Constraints

Large global solutions for energy supercritical nonlinear wave equations on $\R^{3+1}$

Poisson Image Reconstruction With Hessian Schatten-Norm Regularization

Sparse image reconstruction on the sphere: implications of a new sampling theorem