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 ROBOTICS AND AUTOMATION LETTERS, 6 (4)., pp. 8277-8284. ISSN 2377-3766
DIGITAL SIGNAL PROCESSING, 119 ISSN 1051-2004
SZTAKI.
In: 2020 25th International Conference on Pattern Recognition (ICPR) IEEE, Piscataway (NJ), pp. 3178-3185.
PATTERN RECOGNITION LETTERS, 50, pp. 149-158. ISSN 0167-8655
In: Workshop on Scene Understanding for Autonomous Systems at ACCV, Singapore.
In: Computer Vision - ACCV 2014 Workshops, Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part I Lecture Notes in Computer Science (9008) Springer, Cham, pp. 413-425. ISSN 0302-9743
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 52 (2)., pp. 2234-2246. ISSN 0196-2892
In: Seventh Hungarian Conference on Computer Graphics and Geometry,, 2014, Budapest.
In: Seventh Hungarian Conference on Computer Graphics and Geometry, 2014, Budapest.