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: Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings of the 11th IAPR International Conference.
In: Professional Practice in AI. Proceedings of the 18th IFIP World Computer Congress 2004, Toulouse.
In: Proceedings IEEE International Conference on Image Processing (ICIP 2002) Rochester.
In: Pattern Recognition. Proceedings of the 17th international conference Cambridge, Vol. 4..
In: Képfeldolgozók és alakfelismerők III. konferenciája. Domaszék.
In: Cellular Neural Networks and their Applications. Proceedings of the 8th IEEE international workshop Budapest (CNNA 2004).
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 20 (5)., pp. 589-599.
In: International Conference on Computer Vision and Graphics.
MTA SZTAKI, Budapest.
In: Computer Graphics. SCCG 2004. Proceedings of the Spring conference, Budmerice.