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
IEEE Transactions on Image Processing, 16 (2)., pp. 503-510.
In: 23rd International Conference on Pattern Recognition (ICPR) IEEE, Cancun, pp. 3680-3685.
In: CBMI 2008. International workshop on content-based multimedia indexing..
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 36 (3)., pp. 269-273. ISSN 0278-3649
In: Int. Conference on Computer Vision Theory and Applications. Lisbon, Portugália.
In: Lecture Notes in Computer Science, 2011-12-13 - 2011-12-15, Pisa, Olaszország.
In: ECCTD '97. Proceedings of the 1997 European conference on circuit theory and design. Budapest, 1997. Vol. 2..
In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition IEEE, Piscataway (NJ), pp. 235-243.
In: Proceedings of automatic target recognition XX; SPIE defense, security and sensing. Orlando, 2010. (Proceedings of SPIE 7696.).
MTA SZTAKI.