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Treffer: 17

• Monographie

  Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images

  Johannes Wetzel

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• Monographie

  Variational Integrators and Generating Functions for Stochastic Hamiltonian Systems

  Lijin Wang

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• Monographie

  Efficient Reinforcement Learning using Gaussian Processes

  Marc Peter Deisenroth

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• Monographie

  Fahrerabsichtserkennung und Risikobewertung für warnende Fahrerassistenzsysteme

  Martin Liebner

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• Monographie

  Simulation-based Planning of Machine Vision Inspection Systems with an Application to Laser Triangulation

  Mahsa Mohammadikaji

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• Monographie

  Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation

  Peter Krauthausen

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• Monographie

  Machine Learning for Camera-Based Monitoring of Laser Welding Processes

  Julia Hartung

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• Monographie

  Deep Learning based Vehicle Detection in Aerial Imagery

  Lars Wilko Sommer

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• Monographie

  Probabilistic Parametric Curves for Sequence Modeling

  Ronny Hug

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• Monographie

  Inferenz von Kreuzungsinformationen aus Flottendaten

  Christian Ruhhammer

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• Chapter from Proceedings – 31. Workshop Computational Intelligence : Berlin, 25. – 26. November 2021

  Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference

  Eyke Hüllermeier, Mohammad Hossein Shaker

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• Chapter from Forum Bildverarbeitung 2022

  Perspektiveninvariante Inferenz von Eckpunkten in Packmustern von Kartonagen - Perspective invariant inference of corner points in packing patterns of cardboard boxes

  Volker Willert, Tobias Kaupp, Lucas Reinhart, Felix Endres

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• Chapter from Forum Bildverarbeitung 2024

  Machine learning-based battery electrode foil inspection

  Alexander Korff, Timo Eckhard, Sebastian Georgi, Wenjing Song, Ines Müller

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• Chapter from Forum Bildverarbeitung 2024

  Evaluation of 3D-LiDAR based person detection algorithms for edge computing

  Holger Flatt, Helene Dörksen, Dennis Sprute, Dennis Basile

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• Chapter from Forum Bildverarbeitung 2024

  Fast semantic segmentation CNNs for FPGAs

  Michael Heizmann, Michael Stelzl, Muen Jin, Simon Wezstein

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• Chapter from Proceedings – 30. Workshop Computational Intelligence : Berlin, 26. – 27. November 2020

  CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings

  Ralf Mikut, Andreas Steimer, Elton Tavares de Menezes, Jonas Barth, Simon Bäuerle

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• Chapter from Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024

  EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis

  Ralf Mikut, Katharina Nöh, Johannes Seiffarth, Hanno Scharr, Dietrich Kohlheyer, Oliver Neumann, Thomas Lautenschlager, Bahar Akbaba, Lulkas Scholtes, Maximilian Beichter, Erenus Yildiz, Matthias Pesch, Annik Nassal, Angelo Jovin Yamachui Sitcheu, Nils Friederich

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