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: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04).
MTA SZTAKI.
In: 2016 IEEE International Conference on Systems, Man, and Cybernetics - SMC 2016 IEEE, Budapest, pp. 1-6.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 2..
In: IEEE International Conference on Cognitive Infocommunications, 2-5, December, 2013, Budapest, Hungary.
IEEE Trans. Circuits and Systems for Video Technology
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
In: Lecture Notes in Computer Science, 2013-07-16 - 2013-06-18, Szentpétervár, Oroszország.
In: A Képfeldolgozók és Alakfelismerők Társaságának 9. országos konferenciája - KÉPAF 2013, 2013-01-29 - 2013-02-01, Bakonybél, Magyarország.
In: 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004.