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: BMVC 2009. British machine vision conference. London, 2009..
In: 20th international conference on pattern recognition (ICPR 2010). Istanbul, 2010..
In: Texture analysis and synthesis. 3rd international workshop, Texture 2003, Nice.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
ERCIM News (80)., pp. 53-54.
LECTURE NOTES IN COMPUTER SCIENCE, 2756, pp. 746-753.
Pattern Recognition Letters, 31, pp. 891-897.
ERCIM NEWS, 55, pp. 26-27.
In: ICCVG 2008. Computer vision and graphics. International conference. Warsaw, 2008. (Lecture notes in computer science 5337.).