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: CBMI 2007. 2007 international workshop on content-based multimedia indexing. Bordeaux, 2007..
In: IV. magyar számítógépes grafika és geometria konferencia. Budapest, 2007..
In: 1997 international conference on shape modeling and applications. Proceedings. Aizu-Wakamatsu, 1997..
In: CAIP 2007. Computer analysis of images and patterns. 12th international conference. Vienna, 2007. (Lecture notes in computer science 4673.).
ERCIM News (69)., pp. 28-29.
Springer, Wien - New York, pp. 79-88.
MTA SZTAKI, Budapest, pp. 24.
Acta Cybernetica, 18, pp. 193-212.
In: Pattern recognition 1997. Proceedings of the 21st workshop of Austrian Association for Pattern Recognition Group. ÖAGM/AAPR. Hallstatt, 1997..