Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders

Philipp Joppich, Sebastian Dorn, Oliver De Candido +2

Parametric and non-parametric classifiers often have to deal with real-world data, where corruptions like noise, occlusions, and blur are unavoidable - posing significant challenge…