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 with Non-traditional Sensors. 26th Workshop of the Austrian Association for Pattern Recognition. (ÖAGM/AAPR). Graz, 2002. (Österreichische Computer Gesellschaft, Band 160).
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In: Brithish machine vision conference. Edinburgh, 2006. Vol. 1..
In: Performance evaluation for computer vision. 31st AAPR/OAGM workshop. Krumbach, 2007. (books@ocg.at 224.).
In: PAVT 2011. Parallel'nüe vücsiszlitel'nüe tehnologii. Trudü mezsdunarodnoj naucsnoj konferencii, 2010-11-30, Moszkva, Oroszország.
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In: 12th IAPR international conference on pattern recognition. Proceedings. Jerusalem, 1994. Vol. 1..
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..