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: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
In: CBMI 2007. 2007 international workshop on content-based multimedia indexing. Bordeaux, 2007..
In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 174-181.
In: PRIP 2007. Pattern recognition and information processing. Proceedings of the 9th international conference. Minsk, 2007. Vol. 1..
In: PAVT 2011. Parallel'nüe vücsiszlitel'nüe tehnologii. Trudü mezsdunarodnoj naucsnoj konferencii, 2010-11-30, Moszkva, Oroszország.
Signal Processing: Image Communication, 22 (7-8)., pp. 680-691.
In: ECCV 2018, 2018.09.08-2018.09.14, München.
MACHINE VISION AND APPLICATIONS, 22, pp. 741-750. ISSN 0932-8092
In: SSVM 2007. 1st international conference. Ischia, 2007. (Lecture notes in computer science 4485.).