Publications associées à A reliable method of extracting the rheological properties of fruit purees from flow loop data

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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

A reliable method of extracting the rheological properties of fruit purees from flow loop data

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

Enhancing statistical performance of data-driven controller tuning via L2-regularization

Sparse regularization for fiber ODF reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$

Stability and Hypothesis Transfer Learning

On L2-Regularization for Virtual Reference Feedback Tuning

Investigation of droplet shedding in flow focusing geometries using the boundary element method.

Manifold Sparse Beamforming

Manifold Sparse Beamforming

The dilaton Wess-Zumino action in higher dimensions

Hessian-Based Regularization For 3-D Microscopy Image Restoration

Sparse regularization for fiber ODF reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$

Stability and Hypothesis Transfer Learning

Hessian-Based Regularization For 3-D Microscopy Image Restoration

Manifold Sparse Beamforming

On L2-Regularization for Virtual Reference Feedback Tuning

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

Investigation of droplet shedding in flow focusing geometries using the boundary element method.

Enhancing statistical performance of data-driven controller tuning via L2-regularization

The dilaton Wess-Zumino action in higher dimensions

Manifold Sparse Beamforming