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
SMPTE MOTION IMAGING JOURNAL, 113 (5-6)., pp. 170-176.
IEEE Transactions on Image Processing, 18 (10)., pp. 2303-2315.
In: 23rd International Conference on Pattern Recognition (ICPR) IEEE, Cancun, pp. 3680-3685.
In: Winter school of computer graphics, Plzen. WSCG' 2004. (Poster Proceedings).
IEEE MultiMedia, 16 (3)., pp. 48-58. ISSN 1070-986X
LECTURE NOTES IN COMPUTER SCIENCE, 3212, pp. 347-354.
In: VIII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 33-42.
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: 2016 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings IEEE, Budapest, pp. 2636-2640.