A Multimodal Dialogue Framework for Cloud-Based Companion Systems Matthias Kraus, Gregor Behnke, Pascal Bercher, Marvin Schiller, Susanne Biundo, Birte Glimm and Wolfgang Minker Abstract Companion systems are cooperativ

Source URL: www.colips.org

Der wissenschaftliche Ausschuss Ties Behnke, DESY, Was ist der WA? Wer ist im WA? Was macht der WA?

Source URL: wa.desy.de

In Proceedings of 24th British Machine Vision Conference (BMVC), Bristol, UK, 2013. STÜCKLER, BEHNKE: EFFICIENT DENSE 3D RIGID-BODY MOTION SEGMENTATION 1 Efficient Dense 3D Rigid-Body Motion

Source URL: ais.uni-bonn.de

In Proc. of the German Conference on Robotics (ROBOTIK), Munich, Germany, MayEfficient Mobile Robot Navigation using 3D Surfel Grid Maps Jochen Kläß, Jörg Stückler, and Sven Behnke Autonomous Intelligent Syste

Source URL: ais.uni-bonn.de

In Proc. of the German Conference on Robotics (ROBOTIK), Munich, Germany, MayRobust Real-Time Registration of RGB-D Images using Multi-Resolution Surfel Representations Jörg Stückler and Sven Behnke Autonomous I

Source URL: ais.uni-bonn.de

Accepted for Neurocomputing, special issue on ESANN 2010, Elsevier, to appearExploiting Local Structure in Boltzmann Machines Hannes Schulz∗, Andreas M¨ uller1 , Sven Behnke University of Bonn – Computer Sci

Source URL: amueller.github.io

Late Breaking Result Poster, IEEE International Conference on Robotics and Automation (ICRA), Seattle, USA, Teleoperated Hybrid Locomotion in Uneven Terrain Max Schwarz and Sven Behnke Institute of Computer Scienc

Source URL: www.ais.uni-bonn.de

European Conference on Mobile Robots (ECMR), Lincoln, UK, SeptemberEvaluation of Registration Methods for Sparse 3D Laser Scans Jan Razlaw, David Droeschel, Dirk Holz, and Sven Behnke Abstract—The registration

Source URL: www.ais.uni-bonn.de

Late Breaking Result Abstract, IEEE International Conference on Robotics and Automation (ICRA), Seattle, USA, Online Learning of Sagittal Push Recovery for Bipedal Robots Marcell Missura and Sven Behnke Bipedal w

Source URL: www.ais.uni-bonn.de

Published at International Joint Conference on Neural Networks (IJCNN), 2015 Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video Mircea Serban Pavel, Hannes Schulz, and Sven Behnke Unive

Source URL: www.ais.uni-bonn.de

• Artificial neural networks
• Neuroscience
• Cybernetics
• Artificial intelligence
• Convolutional neural network
• Recurrent neural network
• Image segmentation
• Speech recognition
• Receptive field
• Feature learning
• Rectifier
• Biological neural network