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: XI. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 126-133.
In: XI. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 17-24.
Springer, Berlin, pp. 59-68.
In: VIGTA '13 Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications, 2013-07-15, Szentpétervár, Oroszország.
Machine Vision and Applications, 21 (5)., pp. 767-777. ISSN 0932-8092
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 10 (4)., pp. 796-800. ISSN 1545-598x
MTA SZTAKI.
In: 11th International Workshop on Content-Based Multimedia Indexing. CBMI 2013, 2013-06-17 - 2013-06-19, Veszprém, Magyarország.
In: BMVC 2010. British machine vision conference. Aberystwyth, 2010..
PATTERN RECOGNITION LETTERS, 34 (11)., pp. 1252-1262. ISSN 0167-8655