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
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In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
In: Theory and practice of geometric modeling. (Blaubeuren II). Blaubeuren, 1996..
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: Pattern recognition 1997. Proceedings of the 21st workshop of Austrian Association for Pattern Recognition Group. ÖAGM/AAPR. Hallstatt, 1997..
In: Proceedings of the 13th international conference on pattern recognition. Vienna, 1996. Vol. 3. Applications and robotic systems...
In: Image analysis and processing. 9th international conference. ICIAP '97. Proceedings. Florence, 1997. Vol. 2. (Lecture notes in computer science, 1311.).