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
DIGITAL SIGNAL PROCESSING, 119 ISSN 1051-2004
IEEE ROBOTICS AND AUTOMATION LETTERS, 6 (4)., pp. 8277-8284. ISSN 2377-3766
SZTAKI.
In: 2020 25th International Conference on Pattern Recognition (ICPR) IEEE, Piscataway (NJ), pp. 3178-3185.
In: Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája, 2015.01.27-2015.01.30, Kecskemét.
In: ISPRS Istanbul workshop 2010 on modeling of optical airborne and space borne sensors, WG I/4..
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 53 (3)., pp. 1475-1489. ISSN 0196-2892
In: Computational Photography: Methods and Applications CRC Pr., Boca Raton, pp. 283-312.
In: 20th international conference on pattern recognition (ICPR 2010). Istanbul, 2010..