Publications associées à Robust and adaptive approaches for Relative Geologic Time Estimation

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Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Michaël Unser, Julien René Pierre Fageot, Harshit Gupta

We present a theoretical analysis and comparison of the effect of

ℓ _{ 1 }

versus

ℓ _{ 2 }

regularization for the resolution of ill-posed linear inverse and/or compressed sensing problems. Our formulation covers the most general setting where the s ...

IEEE2016

Robust and adaptive approaches for Relative Geologic Time Estimation

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CoCoA: A General Framework for Communication-Efficient Distributed Optimization

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Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Seismic Simultaneous Source Separation via Patchwise Sparse Representation

Full-wavefield modeling and reverse time migration of laser ultrasound data: A feasibility study

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

CoCoA: A General Framework for Communication-Efficient Distributed Optimization

Seismic Simultaneous Source Separation via Patchwise Sparse Representation

Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Inverse Analysis of Radiative Flux Maps for the Characterization of High Flux Sources

Full-wavefield modeling and reverse time migration of laser ultrasound data: A feasibility study

Peptide-Cation Systems: Conformational Search, Benchmark Evaluation, and Force Field Parameter Adjustment Using Regularized Linear Regression

Robust myelin water imaging from multi-echo T2 data using second-order Tikhonov regularization with control points

Morphological component analysis for sparse regularization in plane wave imaging