no code implementations • 10 Jun 2023 • Haya Ejjawi, Amal El Fallah Seghrouchni, Frederic Barbaresco, Raed Abu Zitar
In the pursuit of further advancement in the field of target tracking, this paper explores the efficacy of a feedforward neural network in predicting drones tracks, aiming to eventually, compare the tracks created by the well-known Kalman filter and the ones created by our proposed neural network.
no code implementations • 23 Apr 2022 • Nico Piatkowski, Thore Gerlach, Romain Hugues, Rafet Sifa, Christian Bauckhage, Frederic Barbaresco
Given is a set of images, where all images show views of the same area at different points in time and from different viewpoints.
no code implementations • NeurIPS 2019 • Daniel Brooks, Olivier Schwander, Frederic Barbaresco, Jean-Yves Schneider, Matthieu Cord
Covariance matrices have attracted attention for machine learning applications due to their capacity to capture interesting structure in the data.