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            Effiziente Schätzung dichter Bewegungsvektorfelder unter Berücksichtigung der Epipolargeometrie zwischen unterschiedlichen Ansichten einer Szene 

            Kitt, Bernd (2013)
            In this book an efficient algorithm for estimating dense motion vector fields between different views of a scene is presented. The approach combines geometric constraints between two views of a static scene with a model ...
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            An efficient solution procedure for elastohydrodynamic contact problems considering structural dynamics 

            Schmidt, Jan Henrik (2018)
            This work presents an efficient solution procedure for the elastohydrodynamic (EHD) contact problem considering structural dynamics. The contact bodies are modeled using reduced finite element models. Singly diagonal ...
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            Efficient Reinforcement Learning using Gaussian Processes 

            Deisenroth, Marc Peter (2010)
            This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fully Bayesian approach for efficient RL in continuous-valued ...
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            Effiziente MHz-Wechselrichter mit unipolaren SiC-Transistoren für Hochleistungs-Induktionslampen 

            Hähre, Karsten (2016)
            This work presents the design and investigation of a novel UV-lamp-system, which is based upon UV-induction lamps and a MHz-inverter equipped with normally-on junction field effect transistors (JFET). A system efficiency ...
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            Efficient Radar Forward Operator for Operational Data Assimilation within the COSMO-model 

            Zeng, Yuefei (2013)
            Doppler radars provide unique 3D information about precipitating clouds in high spatial and temporal resolutions. However, the observed quantities (reflectivity, Doppler velocity and polarization properties) are not directly ...
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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