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
ERCIM NEWS, 55, pp. 26-27.
In: Képfeldolgozók és alakfelismerők 2. konferenciája. (Second conference of the Hungarian Image Processing and Pattern Recognition Society.) Noszvaj, 2000..
Pattern Recognition Letters, 31, pp. 891-897.
In: GRAPHICON '2000. The 10th international conference on computer graphics and vision. Conference proceedigns. Moscow, 2000..
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 17 (4)., pp. 487-504.
In: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
In: 15th international conference on pattern recognition. ICPR-2000. Proceedings. Barcelona, 2000. Vol. 3. Image, speech and signal processing..
Computer Vision and Image Understanding, 114 (10)., pp. 1104-1114.
Kluwer, Dordrecht, pp. 167-178.
In: Vision in a dynamic world. Proceedings of the 27th workshop of the Austrian Association for Pattern Recognition, OAGM 2003 Laxenburg.