The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample conse...
Abstract. We introduce a value-based noise reduction method for DualEnergy CT applications. It is based on joint intensity statistics estimated from high- and low-energy CT scans o...
Failure detectors are commonly viewed as abstractions for the synchronism present in distributed system models. However, investigations into the exact amount of synchronism encapsu...
Abstract. The network measurement community has proposed multiple machine learning (ML) methods for traffic classification during the last years. Although several research works ha...
This paper reports on the design and evaluation of UIMarks, a system that lets users specify on-screen targets and associated actions by means of a graphical marking language. UIM...