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 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 4, pp. 46-50.
In: Képfeldolgozók és alakfelismerők III. konferenciája. Domaszék.
In: Gépészet 2010. Proceedings of the 7th conference on mechanical engineering. Budapest, 2010..
In: 12th IAPR international conference on pattern recognition. Proceedings. Jerusalem, 1994. Vol. 1..
In: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
In: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
Vanderbilt University Pr., La Vergne, pp. 1-16.
In: 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004.
In: A Képfeldolgozók és Alakfelismerők Társaságának 9. országos konferenciája - KÉPAF 2013, 2013-01-29 - 2013-02-01, Bakonybél, Magyarország.