Publications associées à A Primal-Dual Reconstruction Algorithm For Fluorescence And Bioluminescence Tomography

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Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Volkan Cevher, Anastasios Kyrillidis

The convex

\ell_1

-regularized

\log\det

divergence criterion has been shown to produce theoretically consistent graph learning. However, this objective function is challenging since the

\ell_1

-regularization is nonsmooth, the

\log\det

objective is n ...

2013

A Primal-Dual Reconstruction Algorithm For Fluorescence And Bioluminescence Tomography

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Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Wavelet-Based Reconstruction for Magnetic Resonance Imaging

Sparsity-Inducing Reconstruction Methods for Fluorescence Diffuse Optical Tomography

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

A Dual Algorithm For L1-Regularized Reconstruction Of Vector Fields

Differential Phase-Contrast X-Ray Computed Tomography: From Model Discretization To Image Reconstruction

Differential Phase-Contrast x-Ray Computed Tomography: From Model Discretization to Image Reconstruction

A Primal-Dual Reconstruction Algorithm for Fluorescence and Bioluminescence Tomography

Flow Control for Cost-Efficient Peer-to-Peer Streaming

Wavelet-Based Reconstruction for Magnetic Resonance Imaging

Flow Control for Cost-Efficient Peer-to-Peer Streaming

Differential Phase-Contrast X-Ray Computed Tomography: From Model Discretization To Image Reconstruction

Differential Phase-Contrast x-Ray Computed Tomography: From Model Discretization to Image Reconstruction

A Primal-Dual Reconstruction Algorithm for Fluorescence and Bioluminescence Tomography

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

Sparsity-Inducing Reconstruction Methods for Fluorescence Diffuse Optical Tomography

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

A Dual Algorithm For L1-Regularized Reconstruction Of Vector Fields