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: Learning for Adaptable Visual Systems (LAVS '04). Proceedings of the Satellite workshop ICPR 2004, Cambridge.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
In: Advanced Control Strategies for Social and Economic Systems. Proceedings of ACS' 04 IFAC Multitrack Conference Vienna.
In: AVSS 2009. 6th IEEE international conference on advanced video and signal based surveillance. Genoa, 2009..
LECTURE NOTES IN COMPUTER SCIENCE, 3058, pp. 83-93.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca..
IEEE Transactions on Geoscience and Remote Sensing, 47 (10)., pp. 3416-3430.
In: Professional Practice in AI. Proceedings of the 18th IFIP World Computer Congress 2004, Toulouse.
In: ACIVS 2009. 11th international conference on advanced concepts for intelligent vision systems. Bordeaux, 2009. (Lecture notes in computer science 5807.).
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..