Browsing by Subject "Machine learning"

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  • Büschenfeld, Torsten; Ostermann, Jörn (Göttingen : Copernicus GmbH, 2012)
    In this paper, we present a method for automatic refinement of training data. Many classifiers from machine learning used in applications in the remote sensing domain, rely on previously labelled training data. This labelling ...
  • Vogt, Karsten; Paul, A.; Ostermann, Jörn; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Supervised machine learning needs high quality, densely sampled and labelled training data. Transfer learning (TL) techniques have been devised to reduce this dependency by adapting classifiers trained on different, but ...
  • Sester, Monika; Feng, Yu; Thiemann, F. (Göttingen : Copernicus GmbH, 2018)
    Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g. simplification, displacement, ...
  • Golestani, Hossein; Meuel, Holger; Voges, Jan; Laude, Thorsten; Erfurt, Johannes; Lim, Wang; Schwarz, Heiko; Marpe, Detlev; Wiegand, Thomas; Genser, Nils; Seiler, Jürgen; Kaup, André; Munderloh, Marco; Dedjouong, Armel; Bahlau, Sascha; Klemt-Albert, Katharina; Ostermann, Jörn; Samayoa, Yasser; Purushothaman, Suraja Koottachiara Nikarth (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2018-07-18)
    Extended Proceedings 4th Summer School on Video Compression and Processing (SVCP) 2018
  • Dietz, Armin; Pösch, Andreas; Reithmeier, Eduard (Bellingham, WA : SPIE - International Society for Optical Engineering, 2018)
    The number of health-care associated infections is increasing worldwide. Hand hygiene has been identified as one of the most crucial measures to prevent bacteria from spreading. However, compliance with recommended procedures ...
  • Feuerhake, Udo; Wage, O.; Sester, M.; Tempelmeier, N.; Nejdl, W.; Demidova, E. (London : International Society for Photogrammetry and Remote Sensing, 2018)
    Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, scheduling of logistic and ...
  • Uttendorf, Sarah; Overmeyer, Ludger (Paris : Atlantis Press, 2015)
    Path-finding algorithms (PFA) are successfully used to find the optimal path between two locations. Good results are obtained if they are used in scenarios where the entire environment can be described mathematically. ...
  • Brüning, J.; Denkena, Berend; Dittrich, Marc-André; Hocke, T. (Amsterdam : Elsevier, 2017)
    Automated Fiber Placement (AFP) processes are commonly deployed in manufacturing of lightweight structures made of carbon fibre reinforced polymer. In general, AFP is connected to individual manufacturing knowledge during ...
  • Feuerhake, Udo (Göttingen : Copernicus GmbH, 2012)
    In general, the development of prediction methods is a quite challenging field. However, as difficult the development is, as useful those methods can be in a large variety of use cases. Whether the weather of tomorrow or ...
  • Klinger, Tobias; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2015)
    Tracking-by-detection is a widely used practice in recent tracking systems. These usually rely on independent single frame detections that are handled as observations in a recursive estimation framework. If these observations ...
  • Bakhshi Golestani, Hossein; Bauer, Johannes; Erfurt, Johannes; Fischer, Kristian; Gehlert, Alexander; Genser, Nils; Grosche, Simon; Kuhnke, Felix; Laude, Thorsten; Meuel, Holger; Munderloh, Marco; Spruck, Andreas; Voges, Jan (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2018-07-03)
    Proceedings of the 4th Summer School on Video Compression and Processing (SVCP) 2018
  • Handke, Lisa; Schulte, Eva-Maria; Schneider, Kurt; Kauffeld, Simone (London : Informa UK Limited, 2018)
    Media use can be considered as an integral part of virtual communication and thus of present-day human interaction. Nevertheless, research on media use and effects still largely relies on laboratory experiments, treating ...
  • Paul, Andreas; Rottensteiner, Franz; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2015)
    In this paper we address the problem of classification of remote sensing images in the framework of transfer learning with a focus on domain adaptation. The main novel contribution is a method for transductive transfer ...
  • Schulze, Malte Jan; Thiemann, F.; Sester, Monika (Göttingen : Copernicus GmbH, 2014)
    In the context of geo-data infrastructures users may want to combine data from different sources and expect consistent data. If both datasets are maintained separately, different capturing methods and intervals leads to ...