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: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
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.
MTA SZTAKI.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
In: Vision in a dynamic world. Proceedings of the 27th workshop of the Austrian Association for Pattern Recognition, OAGM 2003 Laxenburg.
In: IEEE International Conference on Cognitive Infocommunications, 2-5, December, 2013, Budapest, Hungary.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája,. Miskolctapolca.