Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
In: 2020 23rd International Symposium on Measurement and Control in Robotics (ISMCR) IEEE, Piscataway (NJ), pp. 1-5.
Pattern Recognition Letters, 31, pp. 891-897.
In: 2nd international workshop on image and signal processing: theory, methodology and applications. Proceedings. Budapest, 1995.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
COMPUTER GRAPHICS FORUM, 30 (8)., pp. 2208-2230. ISSN 0167-7055
Springer, Wien - New York, pp. 79-88.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
In: 3rd IEEE International Conference on Cognitive Infocommunications. CogInfoCom 2012. Proceedings, 2012-12-02 - 2012-12-05, Kosice, Szlovákia.
MTA SZTAKI, Budapest, pp. 24.
Machine Graphics and Vision, 14, pp. 379-398.