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: Vision in a dynamic world. Proceedings of the 27th workshop of the Austrian Association for Pattern Recognition, OAGM 2003 Laxenburg.
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MTA SZTAKI.
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
In: Texture analysis and synthesis. 3rd international workshop, Texture 2003, Nice.
In: IEEE International Conference on Cognitive Infocommunications, 2-5, December, 2013, Budapest, Hungary.
In: Computer analysis of images and patterns. 7th international conference, CAIP '97. Proceedings. Kiel, 1997.( Lecture notes in computer science, 1296.).
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