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
Signal Processing: Image Communication, 22 (7-8)., pp. 680-691.
In: PRIP 2007. Pattern recognition and information processing. Proceedings of the 9th international conference. Minsk, 2007. Vol. 1..
IEEE Transactions on Circuits and Systems for Video Technology, 17 (6)., pp. 719-728.
In: Dynamical vision. ICCV 2005 and ECCV 2006 workshops, WDV 2005 and WDV 2006. Beijing, 2005. Graz, 2006. (Lecture notes in computer science 4358.).
Computer-Aided Design, 39, pp. 794-817.
In: VISAPP 2007. Proceedings of the 2nd international conference on computer vision theory and applications. Barcelona, 2007..
In: SSVM 2007. 1st international conference. Ischia, 2007. (Lecture notes in computer science 4485.).
In: Knowledge technologies and applications. Proceedings of HUBUSKA 5th open workshop. Kosice, 2007..
In: IV. magyar számítógépes grafika és geometria konferencia. Budapest, 2007..
In: KÉPAF 2007. 6th conference of Hungarian Association for Image Processing and Pattern Recognition. Debrecen, 2007..