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
LECTURE NOTES IN COMPUTER SCIENCE, 2756, pp. 746-753.
In: Czech pattern recognition workshop '97. Proceedings. Milovy, 1997..
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
ERCIM NEWS, 55, pp. 26-27.
Springer, Wien - New York, pp. 79-88.
In: Pattern recognition 1997. Proceedings of the 21st workshop of Austrian Association for Pattern Recognition Group. ÖAGM/AAPR. Hallstatt, 1997..
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 17 (4)., pp. 487-504.
In: Image analysis and processing. 9th international conference, ICIAP '97. Proceedings. Florence, 1997. Vol. 1. ( Lecture notes in computer science, 1310.).
In: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
In: SCIA '97. Proceedings of the 10th Scandinavian conference on image analysis. Lappeenranta, 1997. Vol. 2..