Denis Jordan is Professor of Mathematics and Statistics at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). He grew up in Berne where he graduated in Mathematics and Theoretical Physics before he received a doctoral and postdoctoral qualification at the Department of Anesthesiology of the Technical University of Munich (TUM). His primary research interests include machine learning in remote sensing paradigms (FHNW) and neural correlates of the conscious and unconscious brain in multimodal recordings of electroencephalography, functional magnetic resonance tomography and positron emission tomography (TUM).
Deep Learning using Airborne Imagery
An introduction to Deep Learning for Airborne Imagery.