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
ERCIM NEWS (95)., pp. 27-28. ISSN 0926-4981
In: 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing, 2013-09-05 - 2013-09-07, Cluj-Napoca, Románia.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 17 (4)., pp. 487-504.
In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 174-181.
In: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
In: A Képfeldolgozók és Alakfelismerők Társaságának 9. országos konferenciája - KÉPAF 2013, 2013-01-29 - 2013-02-01, Bakonybél, Magyarország.
In: ECCV 2018, 2018.09.08-2018.09.14, München.
In: Vision in a dynamic world. Proceedings of the 27th workshop of the Austrian Association for Pattern Recognition, OAGM 2003 Laxenburg.
MTA SZTAKI.
LECTURE NOTES IN COMPUTER SCIENCE, 11210, pp. 488-503. ISSN 0302-9743