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: International Workshop on Depth Image Analysis.
In: 21st International Conference on Pattern Recognition.
In: Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition.
ACTA POLYTECHNICA HUNGARICA, 9 (1)., pp. 67-83. ISSN 1785-8860
In: VI. Magyar számítógépes grafika és geometria konferencia, 2012-02-21 - 2012-02-22, Budapest, Magyarország.
In: Egyensúly és optimum, Budapest,.
PATTERN RECOGNITION LETTERS, 33 (9)., pp. 1180-1187. ISSN 0167-8655
In: Networkshop 2012, 2012-04-11 - 2012-04-13, Veszprém, Magyarország.
In: Lecture Notes in Computer Science, 2011-12-13 - 2011-12-15, Pisa, Olaszország.
INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION AND DATABASE SYSTEMS, 6 (5)., pp. 479-494. ISSN 1751-5858