Search for dissertations about: "Marcus Liwicki"

Showing result 11 - 13 of 13 swedish dissertations containing the words Marcus Liwicki.

  2. 11. Machine Learning Concepts for Service Data Interoperability

    Author : Jacob Nilsson; Fredrik Sandin; Jerker Delsing; Marcus Liwicki; Tapio Heikkilä; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; system of systems; system of cyber-physical systems; subsymbolic representations; semantic interoperability; dynamic interoperability; Cyber-Physical Systems; Cyberfysiska system;

    Abstract : Industrial automation is transforming by ongoing digitalization efforts to create a flexible industrial internet of things, turning manufacturing facilities into large-scale systems of cyber-physical systems. This development requires addressing the challenging issue of making heterogeneous systems, data models, and standards interoperable, a core problem in designing sustainable service-oriented automation frameworks. READ MORE

  4. 12. Sharing to learn and learning to share : Fitting together metalearning and multi-task learning

    Author : Richa Upadhyay; Marcus Liwicki; Ronald Phlypo; Rajkumar Saini; Atsuto Maki; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multi-task learning; Meta learning; transfer learning; knowledge sharing algorithms; Machine Learning; Maskininlärning;

    Abstract : This thesis focuses on integrating learning paradigms that ‘share to learn,’ i.e., Multitask Learning (MTL), and ‘learn (how) to share,’ i.e. READ MORE

  5. 13. Efficient Document Image Binarization using Heterogeneous Computing and Interactive Machine Learning

    Author : Florian Westphal; Håkan Grahn; Niklas Lavesson; Marcus Liwicki; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; image binarization; heterogeneous computing; recurrent neural networks; interactive machine learning; historical documents;

    Abstract : Large collections of historical document images have been collected by companies and government institutions for decades. More recently, these collections have been made available to a larger public via the Internet. However, to make accessing them truly useful, the contained images need to be made readable and searchable. READ MORE