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: Texture analysis and synthesis. 3rd international workshop, Texture 2003, Nice.
In: 20th international conference on pattern recognition (ICPR 2010). Istanbul, 2010..
In: BMVC 98. Proceedings of the ninth British machine vision conference. Southampton, 1998. Vol. 1..
LECTURE NOTES IN COMPUTER SCIENCE, 2756, pp. 746-753.
ERCIM News (80)., pp. 53-54.
ERCIM NEWS, 55, pp. 26-27.
Pattern Recognition Letters, 31, pp. 891-897.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 17 (4)., pp. 487-504.
In: II. magyar számítógépes grafika és geometria konferencia. Budapest, 2003.
Computer Vision and Image Understanding, 114 (10)., pp. 1104-1114.