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: 12th IEEE International Conference on Control and Automation, ICCA 2016 IEEE, New York, pp. 707-713.
In: 23rd International Conference on Pattern Recognition (ICPR) IEEE, Cancun, pp. 3680-3685.
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In: VIII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 33-42.
In: 2016 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings IEEE, Budapest, pp. 2636-2640.
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In: 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) IEEE, Piscataway, pp. 1-5.
In: 24th European Signal Processing Conference, EUSIPCO 2016 IEEE, New York, pp. 2161-2165.
In: Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings of the 11th IAPR International Conference.
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