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).
In: Lecture notes in computer science, Berlin; Heidelberg,.
IET COMPUTER VISION, 8 (1)., pp. 66-75. ISSN 1751-9632
Machine Graphics and Vision, 14, pp. 379-398.
In: VI. Magyar számítógépes grafika és geometria konferencia, 2012-02-21 - 2012-02-22, Budapest, Magyarország.
In: 2016 IEEE International Conference on Systems, Man, and Cybernetics - SMC 2016 IEEE, Budapest, pp. 1-6.
In: Vision in a dynamic world. Proceedings of the 27th workshop of the Austrian Association for Pattern Recognition, OAGM 2003 Laxenburg.
In: KÉPAF 2007. 6th conference of Hungarian Association for Image Processing and Pattern Recognition. Debrecen, 2007..
MTA SZTAKI.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 2..