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eess.SP2026
Second-order optimization of variable projection SVM models and road abnormality detection
Andrea Angino, Matthias Voigt, Rolf Krause +1
We introduce a novel second-order optimization framework for minimizing so-called variable projection functionals. We demonstrate that the proposed framework is especially usefulfo…
math.NA2026
Multilevel Preconditioning Strategies for Convex Optimization Methods in Image Deblurring
Stefano Aleotti, Claudia Binda, Marco Donatelli +1
Proximal gradient methods are widely used in imaging, and their speed of convergence can be accelerated by incorporating variable metrics and/or extrapolation steps. Recent works h…