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
IMAGE AND VISION COMPUTING, 23 (3)., pp. 299-309.
In: Czech pattern recognition workshop '97. Proceedings. Milovy, 1997..
Machine Graphics and Vision, 14, pp. 379-398.
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
Pattern Recognition Letters, 27, pp. 1581-1589.
In: Computer recognition systems. Proceedings of the 4th international conference. CORES'05. Rydzyna Castle, 2005..
In: Proc. Computer Vision Winter Workshop.
Springer, Wien - New York, pp. 79-88.
In: III. magyar számítógépes grafika és geometria konferencia. Budapest, 2005..
In: Pattern recognition 1997. Proceedings of the 21st workshop of Austrian Association for Pattern Recognition Group. ÖAGM/AAPR. Hallstatt, 1997..