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: Visual learning. 33rd workshop of the Austrian Association for Pattern Recognition. Stainz, 2009. (books@ocg.at 254.).
In: KÉPAF 2007. 6th conference of Hungarian Association for Image Processing and Pattern Recognition. Debrecen, 2007..
In: Performance evaluation for computer vision. 31st AAPR/OAGM workshop. Krumbach, 2007. (books@ocg.at 224.).
In: BMVC 2009. British machine vision conference. London, 2009..
In: CBMI 2007. 2007 international workshop on content-based multimedia indexing. Bordeaux, 2007..
In: PRIP 2007. Pattern recognition and information processing. Proceedings of the 9th international conference. Minsk, 2007. Vol. 1..
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
Signal Processing: Image Communication, 22 (7-8)., pp. 680-691.