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
Springer, Berlin, pp. 239-266.
In: CIVR 2007. Proceedings of the 6th ACM international conference on image and video retrieval. Amsterdam, 2007..
In: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
In: VII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 88-94.
In: Proceedings of the eighth symposium on microcomputer and microprocessor applications. Budapest, 1994. Vol. 1..
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
COMPUTING, 62, pp. 321-338.
In: I. magyar számítógépes grafika és geometria konferencia. Budapest.
OCG, Vienna
Machine Graphics & Vision, 15 (1)., pp. 328.