Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Aggregation schemes allow to combine several cryptographic values like message authentication codes or signatures into a shorter value such that, despite compression, some notion o...
In sports broadcasts, networks consisting of pan-tiltzoom (PTZ) cameras usually exhibit very wide baselines, making standard matching techniques for camera calibration very hard t...
Jens Puwein, Remo Ziegler, Luca Ballan, Marc Polle...
Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such ...