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: Proceedings of the eighth symposium on microcomputer and microprocessor applications. Budapest, 1994. Vol. 1..
LECTURE NOTES IN COMPUTER SCIENCE, 2756, pp. 746-753.
ERCIM NEWS, 55, pp. 26-27.
In: Efficient texture analysis: advanced methods, applications. Patras, 1993. (KFKI-1994-2/N report.).
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 17 (4)., pp. 487-504.
In: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
In: 12th IAPR international conference on pattern recognition. Proceedings. Jerusalem, 1994. Vol. 1..
In: Computer analysis of images and patterns. 9th international conference. CAIP 2001. Procedings. Warsaw, 2001. (Lecture notes in computer science 2124.).
In: Vision in a dynamic world. Proceedings of the 27th workshop of the Austrian Association for Pattern Recognition, OAGM 2003 Laxenburg.