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: XI. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 17-24.
In: XI. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 126-133.
In: Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája, 2015.01.27-2015.01.30, Kecskemét.
In: Proceedings 16th International Conference on Pattern Recognition (ICPR 2002) Vol. III. Québec.
In: Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISAPP-2015) SciTePress, Berlin, pp. 593-599.
In: Image and Signal Processing for Remote Sensing XXI Proceedings of SPIE (9643) SPIE, Toulouse, pp. 96430F.
In: Pattern recognition in information systems. Proceedings of the 2nd international workshop PRIS'02. Alicante.
In: ICCV 2015. 2015 IEEE International Conference on Computer Vision IEEE Computer Society, Piscataway, pp. 184-191. ISSN 1550-5499
Multimedia Tools and Applications, 74 (4)., pp. 1137-1142. ISSN 1380-7501