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
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In: 2014 International Workshop on Computational Intelligence for Multimedia Understanding. IWCIM 2014 IEEE, Paris, pp. 1-5.
MTA SZTAKI, Budapest, pp. 37.
In: Pattern recognition in information systems. Proceedings of the 2nd international workshop PRIS'02. Alicante.
In: Combinatorial Image Analysis. 16th International Workshop, IWCIA 2014, Brno, Czech Republic, May 28-30, 2014. Proceedings Lecture Notes in Computer Science (8466) Springer, Cham, pp. 158-170.
PATTERN RECOGNITION, 27 (8)., pp. 1079-1092.
In: Seventh Hungarian Conference on Computer Graphics and Geometry, 2014, Budapest.
IEEE Geoscience and Remote Sensing Letters, 11 (9)., pp. 1544-1548. ISSN 1545-598X
In: Proceedings of the third IEEE international workshop on cellular neural networks and their applications. CNNA-94. Rome, 1994.