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- European Space Operations CentreDE8 papers
- Technical University of MunichDE8 papers
- Universität UlmDE8 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- European Space Astronomy CentreES6 papers
- European Space Research and Technology CentreNL6 papers
- Karlsruhe Institute of TechnologyDE6 papers
- Technische Universität DresdenDE6 papers
- University of BremenDE5 papers
- University of StuttgartDE5 papers
- Centro de AstrobiologíaES4 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE4 papers
6 papers · 1 filter
Time-Triggered Co-Scheduling of Computation and Communication with Jitter Requirements
Anna Minaeva, Benny Akesson, Zdenek Hanzalek +1
The complexity of embedded application design is increasing with growing user demands. In particular, automotive embedded systems are highly complex in nature, and their functional…
The observing campaign on the deep-space debris WT1190F as a test case for short-warning NEO impacts
Marco Micheli, Alberto Buzzoni, Detlef Koschny +13
On 2015 November 13, the small artificial object designated WT1190F entered the Earth atmosphere above the Indian Ocean offshore Sri Lanka after being discovered as a possible new…
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images
Waleed M. Gondal, Jan M. Köhler, René Grzeszick +2
Convolutional neural networks (CNNs) show impressive performance for image classification and detection, extending heavily to the medical image domain. Nevertheless, medical expert…
A Semismooth Newton Method for Fast, Generic Convex Programming
Alnur Ali, Eric Wong, J. Zico Kolter
We introduce Newton-ADMM, a method for fast conic optimization. The basic idea is to view the residuals of consecutive iterates generated by the alternating direction method of mul…
Adversarial Examples for Semantic Image Segmentation
Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen +1
Machine learning methods in general and Deep Neural Networks in particular have shown to be vulnerable to adversarial perturbations. So far this phenomenon has mainly been studied…
On Detecting Adversarial Perturbations
Jan Hendrik Metzen, Tim Genewein, Volker Fischer +1
Machine learning and deep learning in particular has advanced tremendously on perceptual tasks in recent years. However, it remains vulnerable against adversarial perturbations of…