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: KÉPAF 2007. 6th conference of Hungarian Association for Image Processing and Pattern Recognition. Debrecen, 2007..
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
In: PRIP 2007. Pattern recognition and information processing. Proceedings of the 9th international conference. Minsk, 2007. Vol. 1..
In: Képfeldolgozók és alakfelismerők III. konferenciája. Domaszék.
In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04).
Acta Cybernetica, 18, pp. 193-212.
In: Vision with Non-traditional Sensors. 26th Workshop of the Austrian Association for Pattern Recognition. (ÖAGM/AAPR). Graz, 2002. (Österreichische Computer Gesellschaft, Band 160).
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 2..
In: VISAPP 2007. Proceedings of the 2nd international conference on computer vision theory and applications. Barcelona, 2007..