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: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
In: Texture 2002. The 2nd international workshop on texture analysis and synthesis.In conjunction with ECCV2002. Proceedings. Copenhagen.
In: 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004.
Springer, Wien - New York, pp. 79-88.
In: 16th international conference on pattern recognition. ICPR 2002. Quebec.
In: Pattern recognition 1997. Proceedings of the 21st workshop of Austrian Association for Pattern Recognition Group. ÖAGM/AAPR. Hallstatt, 1997..
PATTERN RECOGNITION, 35, pp. 2165-2180.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..