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: Int. Conference on Computer Vision Theory and Applications. Lisbon, Portugália.
In: Proceedings 16th International Conference on Pattern Recognition (ICPR 2002) Vol. III. Québec.
INTERNATIONAL JOURNAL OF REMOTE SENSING, 38 (23)., pp. 7422-7440. ISSN 0143-1161
IEEE Transactions on Image Processing, 18 (10)., pp. 2303-2315.
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 10424, pp. 184-195. ISSN 0302-9743
IEEE MultiMedia, 16 (3)., pp. 48-58. ISSN 1070-986X
In: Pattern recognition in information systems. Proceedings of the 2nd international workshop PRIS'02. Alicante.
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 8 (1)., pp. 79-85. ISSN 1868-5137