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: 4th IASTED international conference signal processing, pattern recognition, and applications. Innsbruck, 2007..
In: Innováció és fenntartható felszíni közlekedés, IFFK 2016 Magyar Mérnökakadémia (MMA), Budapest, pp. 170-175.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (6)., pp. 1080-1085.
In: VIII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 27-32.
IEEE Transactions on Image Processing, 16 (3)., pp. 710-720.
In: VISAPP 2007. Proceedings of the 2nd international conference on computer vision theory and applications. Barcelona, 2007..
In: 12th IEEE International Conference on Control and Automation, ICCA 2016 IEEE, New York, pp. 707-713.
In: CBMI 2007. 2007 international workshop on content-based multimedia indexing. Bordeaux, 2007..
In: 23rd International Conference on Pattern Recognition (ICPR) IEEE, Cancun, pp. 3680-3685.
In: ACIVS 2007. 9th international conference on advanced concepts for intelligent vision systems. Delft, 2007. (Lecture notes in computer science 4678.).