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: 4th IASTED international conference signal processing, pattern recognition, and applications. Innsbruck, 2007..
In: Signal and data processing of small targets. SPIE symposium on optical engineering + applications. San Diego, 2009. (Proceedings of the SPIE 7445.).
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.
In: PETS 2009. 11th IEEE international workshop on performance evaluation of tracking and surveillance. Miami, 2009..
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..