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
MTA SZTAKI, Budapest, pp. 37.
In: 25th European Signal Processing Conference (EUSIPCO) EURASIP, Kos, pp. 1604-1608.
In: Advanced concepts for intelligent vision systems. Proceedings of ACIVS 2003. Ghent.
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
PATTERN RECOGNITION, 27 (8)., pp. 1079-1092.
In: Proceedings of the EC-VIP-MC 2003. Zagreb. 4th EURASIP Conference Focused on Video/Image Processing and Multimedia Communications.
In: Circuit Theory and Design. Proceedings of the 16th European Conference ECCTD'03. Vol. 2..
In: Proceedings of the third IEEE international workshop on cellular neural networks and their applications. CNNA-94. Rome, 1994.
In: CBMI '17. Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing ACM Press, New York, pp. 1-6.