2 papers
cs.LG2021
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements
Lara Hoffmann, Ines Fortmeier, Clemens Elster
Uncertainty quantification by ensemble learning is explored in terms of an application from computational optical form measurements. The application requires to solve a large-scale…
eess.IV2020
Deep Neural Networks for Computational Optical Form Measurements
Lara Hoffmann, Clemens Elster
Deep neural networks have been successfully applied in many different fields like computational imaging, medical healthcare, signal processing, or autonomous driving. In a proof-of…