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
LECTURE NOTES IN COMPUTER SCIENCE, 2756, pp. 746-753.
MACHINE VISION AND APPLICATIONS, 22, pp. 741-750. ISSN 0932-8092
In: Czech pattern recognition workshop'93. Temesvár u Písku, 1993.
ERCIM NEWS, 55, pp. 26-27.
COMPUTER GRAPHICS FORUM, 30 (8)., pp. 2208-2230. ISSN 0167-7055
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 17 (4)., pp. 487-504.
In: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
In: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
In: Theoretical foundations of computer vision. Proceedings of the 5th workshop. Buckow, 1992. (Mathematical research 69.).
In: Vision in a dynamic world. Proceedings of the 27th workshop of the Austrian Association for Pattern Recognition, OAGM 2003 Laxenburg.