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..
In: SSVM 2007. 1st international conference. Ischia, 2007. (Lecture notes in computer science 4485.).
In: GRAPHICON '2000. The 10th international conference on computer graphics and vision. Conference proceedigns. Moscow, 2000..
Acta Cybernetica, 18, pp. 193-212.
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..
In: Dynamical vision. ICCV 2005 and ECCV 2006 workshops, WDV 2005 and WDV 2006. Beijing, 2005. Graz, 2006. (Lecture notes in computer science 4358.).
Kluwer, Dordrecht, pp. 167-178.