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: Proceedings of the eighth symposium on microcomputer and microprocessor applications. Budapest, 1994. Vol. 1..
In: SCIA '97. Proceedings of the 10th Scandinavian conference on image analysis. Lappeenranta, 1997. Vol. 2..
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.
In: VII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 88-94.
In: BMVC' 95. Proceedings of the 6th British machine vision conference. Birmingham, 1995. Vol. 1..