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..
Kluwer, Dordrecht, pp. 167-178.
In: Dynamical vision. ICCV 2005 and ECCV 2006 workshops, WDV 2005 and WDV 2006. Beijing, 2005. Graz, 2006. (Lecture notes in computer science 4358.).
World Scientific, Singapore, pp. 69-87.
In: CIVR 2007. Proceedings of the 6th ACM international conference on image and video retrieval. Amsterdam, 2007..
In: Computer analysis of images and patterns. 7th international conference, CAIP '97. Proceedings. Kiel, 1997.( Lecture notes in computer science, 1296.).
In: Képfeldolgozók és alakfelismerők 2. konferenciája. (Second conference of the Hungarian Image Processing and Pattern Recognition Society.) Noszvaj, 2000..
In: Image analysis and processing. 9th international conference. ICIAP '97. Proceedings. Florence, 1997. Vol. 2. (Lecture notes in computer science, 1311.).
In: KÉPAF 2007. 6th conference of Hungarian Association for Image Processing and Pattern Recognition. Debrecen, 2007..