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Auflistung nach Schlagwort "knowledge transfer"

1 - 3 von 3
  • Konferenzbeitrag
    Low-resolution Iris Recognition via Knowledge Transfer
    (BIOSIG 2022, 2022) Fadi Boutros, Olga Kaehm
    This work introduces a novel approach for extremely low-resolution iris recognition based on deep knowledge transfer. This work starts by adapting the penalty margin loss to the iris recognition problem. This included novel analyses on the appropriate penalty margin for iris recognition. Additionally, this work presents analyses toward finding the optimal deeply learned representation dimension for the identity information embedded in the iris capture. Most importantly, this work proposes a training framework that aims at producing iris deep representations from extremely lowresolution that are similar to those of high resolution. This was realized by the controllable knowledge transfer of an iris recognition model trained for high-resolution images into a model that is specifically trained for extremely low-resolution irises. The presented approach leads to the reduction of the verification errors by more than 3 folds, in comparison to the traditionally trained model for low-resolution iris recognition.
  • Konferenzbeitrag
    Observations on Knowledge Transfer of Professional Software Developers during Pair Programming
    (Software Engineering und Software Management 2018, 2018) Zieris, Franz; Prechelt, Lutz
    This work was presented at the 38th International Conference on Software Engineering (2016). Context: Software development is knowledge-intense work, and so is pair programming. However, the importance of knowledge transfer in pair programming is usually only stressed for expert-novice constellations and not for general software development situations. Goal: Understand how pair programmers deal with their knowledge deficits and eventually provide guidance for practitioners. Method: Detailed qualitative data analysis of full-length recordings of industrial pair programming sessions. Results: Expert software developers need to transfer knowledge, too, in order to conduct productive pair programming sessions. There is a diversity of beneficial and potentially problematic patterns, which even good pairs do not steadily apply or avoid, respectively. Conclusions: Pair programming is a versatile practice that even experts can profit from. Knowledge transfer skills do not automatically emerge from good software development skills, but can probably be learned.
  • Konferenzbeitrag
    Visual analytics for knowledge management
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Vladova, Gergana; Ullrich, André; Sultanow, Eldar; Tobolla, Marinho; Sebrak, Sebastian; Czarnecki, Christian; Brockmann, Carsten
    The management of knowledge in organizations considers both established long-term processes and cooperation in agile project teams. Since knowledge can be both tacit and explicit, its transfer from the individual to the organizational knowledge base poses a challenge in organizations. This challenge increases when the fluctuation of knowledge carriers is exceptionally high. Especially in large projects in which external consultants are involved, there is a risk that critical, company-relevant knowledge generated in the project will leave the company with the external knowledge carrier and thus be lost. In this paper, we show the advantages of an early warning system for knowledge management to avoid this loss. In particular, the potential of visual analytics in the context of knowledge management systems is presented and discussed. We present a project for the development of a business-critical software system and discuss the first implementations and results.