Pages that link to "Item:Q4859541"

The following pages link to The “Minimum Reconstruction Error” Choice of Regularization Parameters: Some More Efficient Methods and Their Application to Deconvolution Problems (Q4859541):

Displaying 9 items.

• Prior knowledge and multiscaling in statistical estimation of signal-to-noise ratio -- Application to deconvolution regularization (Q674045) (← links)
• Operator-theoretic and regularization approaches to ill-posed problems (Q1655963) (← links)
• Comparing different types of approximators for choosing the parameters in the regularization of ill-posed problems (Q1779614) (← links)
• Automated data-driven selection of the hyperparameters for total-variation-based texture segmentation (Q2051545) (← links)
• Local behavior of sparse analysis regularization: applications to risk estimation (Q2252165) (← links)
• (Q2993796) (← links)
• Ill-Posed Problems: Operator Methodologies of Resolution and Regularization (Q3120064) (← links)
• A straightforward and unified approach to the derivation of minimum-variance deconvolution algorithms (Q3703765) (← links)
• A criterion for the choice of a sampling parameter in the problem of Laplace transform inversion (Q4286681) (← links)