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: Proceedings of the eighth symposium on microcomputer and microprocessor applications. Budapest, 1994. Vol. 1..
In: BMVC' 95. Proceedings of the 6th British machine vision conference. Birmingham, 1995. Vol. 1..
In: KÉPAF 2011. 8th conference of the Hungarian Association for Image Processing and Pattern Recognition, 2011-01-25 - 2011-01-28, Szeged, Magyarország.
In: 2nd international workshop on image and signal processing: theory, methodology and applications. Proceedings. Budapest, 1995.
In: PAVT 2011. Parallel'nüe vücsiszlitel'nüe tehnologii. Trudü mezsdunarodnoj naucsnoj konferencii, 2010-11-30, Moszkva, Oroszország.
In: Efficient texture analysis: advanced methods, applications. Patras, 1993. (KFKI-1994-2/N report.).
In: COMBIO' 95. Summer workshop on computational modelling and imaging in biosciences. Kecskemét, 1995.
MACHINE VISION AND APPLICATIONS, 22, pp. 741-750. ISSN 0932-8092
In: 12th IAPR international conference on pattern recognition. Proceedings. Jerusalem, 1994. Vol. 1..