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
Acta Cybernetica, 18, pp. 193-212.
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..
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
thesis.
In: 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004.
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: PRIP 2007. Pattern recognition and information processing. Proceedings of the 9th international conference. Minsk, 2007. Vol. 1..