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
ERCIM NEWS, 55, pp. 26-27.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
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In: CIVR 2007. Proceedings of the 6th ACM international conference on image and video retrieval. Amsterdam, 2007..
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 17 (4)., pp. 487-504.
In: 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004.
In: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
In: KÉPAF 2007. 6th conference of Hungarian Association for Image Processing and Pattern Recognition. Debrecen, 2007..