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: I. magyar számítógépes grafika és geometria konferencia. Budapest.
In: I. magyar számítógépes grafika és geometria konferencia. Budapest, 2002..
In: 1997 international conference on shape modeling and applications. Proceedings. Aizu-Wakamatsu, 1997..
Springer, Wien - New York, pp. 79-88.
MTA SZTAKI, Budapest, pp. 24.
In: Képfeldolgozók és alakfelismerők III. konferenciája. Domaszék.
In: Pattern recognition 1997. Proceedings of the 21st workshop of Austrian Association for Pattern Recognition Group. ÖAGM/AAPR. Hallstatt, 1997..
In: Geometric modeling and processing. Theory and applications. GMP 2002. Wako, Saitama Proceedings..