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: ICCVG 2008. Computer vision and graphics. International conference. Warsaw, 2008. (Lecture notes in computer science 5337.).
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
LECTURE NOTES IN COMPUTER SCIENCE, 1689, pp. 367-374.
International Journal of Computer Vision (DOI: 1)., pp. 1-16.
In: Visual learning. 33rd workshop of the Austrian Association for Pattern Recognition. Stainz, 2009. (books@ocg.at 254.).
In: Workshop on texture analysis in machine vision. TEXTURE '99. Oulu, 1999..
In: AITTH 2008. II. international conference advanced information and telemedicine technologies for health. Proceedings. Minsk, 2008..
In: BMVC 2009. British machine vision conference. London, 2009..
PATTERN RECOGNITION, 32, pp. 487-502.
MACHINE GRAPHICS AND VISION, 8 (4)., pp. 553-569.