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
VISUAL COMPUTER, 27, pp. 387-399. ISSN 0178-2789
In: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
In: 20th international conference on pattern recognition (ICPR 2010). Istanbul, 2010..
In: TMCE 2010. Tools and methods of competitive engineering. Proceedings of the eight international symposium. Ancona, 2010. Vol. 1..
ERCIM News (80)., pp. 53-54.
Óbuda University e-Bulletin, 1 (1)., pp. 79-85.
In: V. magyar számítógépes grafika és geometria konferencia. Budapest, 2010..
Pattern Recognition Letters, 31, pp. 891-897.