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: Computer analysis of images and patterns. 9th international conference. CAIP 2001. Procedings. Warsaw, 2001. (Lecture notes in computer science 2124.).
In: Czech pattern recognition workshop'93. Temesvár u Písku, 1993.
In: Efficient texture analysis: advanced methods, applications. Patras, 1993. (KFKI-1994-2/N report.).
In: Magyar informatikusok II. világtalálkozója. Budapest, 2000. 1. köt..
JOURNAL OF COMMUNICATION, 55, pp. 43-46.
In: Proceedings of the eighth symposium on microcomputer and microprocessor applications. Budapest, 1994. Vol. 1..
In: Theoretical foundations of computer vision. Proceedings of the 5th workshop. Buckow, 1992. (Mathematical research 69.).
In: Image analysis and synthesis. Graz, 1993. (Schriftenreihe der Österreichischen Computer Gesellschaft 68.).