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
LECTURE NOTES IN COMPUTER SCIENCE, 3212, pp. 347-354.
ISPRS Journal of Photogrammetry and Remote Sensing, 61 (1)., pp. 298-306.
In: Learning for Adaptable Visual Systems (LAVS '04). Proceedings of the Satellite workshop ICPR 2004, Cambridge.
In: 4th IASTED international conference signal processing, pattern recognition, and applications. Innsbruck, 2007..
In: Advanced Control Strategies for Social and Economic Systems. Proceedings of ACS' 04 IFAC Multitrack Conference Vienna.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (6)., pp. 1080-1085.
LECTURE NOTES IN COMPUTER SCIENCE, 3058, pp. 83-93.
IEEE Transactions on Image Processing, 16 (3)., pp. 710-720.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca..
In: VISAPP 2007. Proceedings of the 2nd international conference on computer vision theory and applications. Barcelona, 2007..