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: 25th European Signal Processing Conference (EUSIPCO) EURASIP, Kos, pp. 1604-1608.
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 32 (7)., pp. 1013-1026.
In: CBMI '17. Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing ACM Press, New York, pp. 1-6.
In: Computer analysis of images and patterns. 7th international conference. CAIP '97. Kiel, 1997. (Lecture notes in computer science, 1296.).
MTA SZTAKI, Budapest, pp. 17.
INTERNATIONAL JOURNAL OF REMOTE SENSING, 38 (23)., pp. 7422-7440. ISSN 0143-1161