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: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
Signal Processing: Image Communication, 22 (7-8)., pp. 680-691.
In: 2nd international workshop on image and signal processing: theory, methodology and applications. Proceedings. Budapest, 1995.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
In: Performance evaluation for computer vision. 31st AAPR/OAGM workshop. Krumbach, 2007. (books@ocg.at 224.).
Springer, Wien - New York, pp. 79-88.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
In: TMCE 2008. Tools and methods of competitive engineering international symposium. Izmir, 2008..
MTA SZTAKI, Budapest, pp. 24.
Machine Graphics and Vision, 14, pp. 379-398.