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
Computer Vision and Image Understanding, 114 (10)., pp. 1104-1114.
In: V. magyar számítógépes grafika és geometria konferencia. Budapest, 2010..
JOURNAL OF MATHEMATICAL IMAGING AND VISION, 48 (1)., pp. 176-184. ISSN 0924-9907
In: 20th international conference on pattern recognition (ICPR 2010). Istanbul, 2010..
In: VII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 88-94.
ERCIM News (80)., pp. 53-54.
STUDIA UNIVERSITATIS BABES-BOLYAI SERIES INFORMATICA, LIX (1)., pp. 15-30. ISSN 1224-869X
Pattern Recognition Letters, 31, pp. 891-897.
In: Seventh Hungarian Conference on Computer Graphics and Geometry, 2014, Budapest.