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: Image analysis and synthesis. Graz, 1993. (Schriftenreihe der Österreichischen Computer Gesellschaft 68.).
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
In: Image processing: theory and applications. Proceedings of IPTA'93. San Remo, 1993.
In: ICCVG 2008. Computer vision and graphics. International conference. Warsaw, 2008. (Lecture notes in computer science 5337.).
In: Czech pattern recognition workshop'93. Temesvár u Písku, 1993.
In: Computer analysis of images and patterns. 9th international conference. CAIP 2001. Procedings. Warsaw, 2001. (Lecture notes in computer science 2124.).
In: Visual learning. 33rd workshop of the Austrian Association for Pattern Recognition. Stainz, 2009. (books@ocg.at 254.).
In: Magyar informatikusok II. világtalálkozója. Budapest, 2000. 1. köt..
In: BMVC 2009. British machine vision conference. London, 2009..