Browsing by Subject "Learning systems"

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  • Pereira Nunes, Bernardo; Kawase, Ricardo; Dietze, Stefan; Bernardino De Campos, Gilda Helena; Nejdl, Wolfgang (Heidelberg : Springer Verlag, 2012)
    One of the most popular forms of learning is through reading and for years we have used hard copy documents as the main material to learn. With the advent of the Internet and the fast development of new technologies, new ...
  • Pereira Nunes, Bernardo; Pedrosa, Stella; Kawase, Ricardo; Alrifai, Mohammad; Marenzi, Ivana; Dietze, Stefan; Casanova, Marco Antonio (Heidelberg : Springer Verlag, 2013)
    Learning is a level-progressing process. In any field of study, one must master basic concepts to understand more complex ones. Thus, it is important that during the learning process learners are presented and challenged ...
  • Chen, Lin; Rottensteiner, Franz; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2015)
    In this paper we present several descriptors for feature-based matching based on autoencoders, and we evaluate the performance of these descriptors. In a training phase, we learn autoencoders from image patches extracted ...
  • 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 ...
  • 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 ...