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
COMPUTER GRAPHICS FORUM, 30 (8)., pp. 2208-2230. ISSN 0167-7055
In: 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, 2013-09-05 - 2013-09-07, Cluj-Napoca, Románia.
In: Efficient texture analysis: advanced methods, applications. Patras, 1993. (KFKI-1994-2/N report.).
Springer, Wien - New York, pp. 79-88.
In: Képfeldolgozók és alakfelismerők 2. konferenciája. (Second conference of the Hungarian Image Processing and Pattern Recognition Society.) Noszvaj, 2000..
In: 16th international conference on pattern recognition. ICPR 2002. Quebec.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
Engineering Applications of Artificial Intelligence, 19, pp. 269-276.
International Journal of Computer Vision (DOI: 1)., pp. 1-16.
In: 3rd IEEE International Conference on Cognitive Infocommunications. CogInfoCom 2012. Proceedings, 2012-12-02 - 2012-12-05, Kosice, Szlovákia.