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: 11th International Workshop on Content-Based Multimedia Indexing. CBMI 2013, 2013-06-17 - 2013-06-19, Veszprém, Magyarország.
MTA SZTAKI.
PATTERN RECOGNITION LETTERS, 34 (11)., pp. 1252-1262. ISSN 0167-8655
Geoscience and Remote Sensing Letters, 10 (4)., pp. 796-800.
In: Proceedings 16th International Conference on Pattern Recognition (ICPR 2002) Vol. III. Québec.
In: A Képfeldolgozók és Alakfelismerők Társaságának 9. országos konferenciája - KÉPAF 2013, 2013-01-29 - 2013-02-01, Bakonybél, Magyarország.
In: IEEE International Conference on Cognitive Infocommunications, 2-5, December, 2013, Budapest, Hungary.
In: VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications, Volume 1, 2013-02-21 - 2013-02-24, Barcelona, Spanyolország.
In: Pattern recognition in information systems. Proceedings of the 2nd international workshop PRIS'02. Alicante.