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
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In: Vision in a dynamic world. Proceedings of the 27th workshop of the Austrian Association for Pattern Recognition, OAGM 2003 Laxenburg.
PATTERN RECOGNITION LETTERS, 13, pp. 669-676.
MTA SZTAKI, Budapest, pp. 59.
In: Texture analysis and synthesis. 3rd international workshop, Texture 2003, Nice.
In: Progress in image analysis and processing II. Proceedings of the 6th international conference Como, 1991.
Nashboro Press, Brentwood, pp. 265-274.
In: Pattern Recognition, 1992. Vol. I. Conference B: Pattern Recognition Methodology and Systems, Proceedings of the 11th IAPR International Conference.