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: International Conference on Image Analysis and Recognition (ICIAR), July 5-7, 2017, Montreal, Canada.
SZTAKI.
In: 2018 IEEE Radar Conference (Radarconf’18) IEEE, Oklahoma City (OK), pp. 206-211.
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 10424, pp. 184-195. ISSN 0302-9743
In: ECCV 2018, 2018.09.08-2018.09.14, München.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 19, pp. 1-13. ISSN 1524-9050
PATTERN RECOGNITION LETTERS, 94, pp. 7-14. ISSN 0167-8655
In: ICCV 2017: International Conference on Computer Vision, 2017.10.22-2017.10.29, Venice, Italy.
LECTURE NOTES IN COMPUTER SCIENCE, 11210, pp. 488-503. ISSN 0302-9743