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
Machine Graphics & Vision, 15 (1)., pp. 328.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
In: Lecture notes in computer science, 2012-07-11 - 2012-07-13, Palma de Mallorca, Spanyolország.
PATTERN RECOGNITION LETTERS, 13, pp. 669-676.
In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 209-215.
In: 2nd international workshop on image and signal processing: theory, methodology and applications. Proceedings. Budapest, 1995.
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
World Scientific, Singapore, pp. 69-87.
LECTURE NOTES IN COMPUTER SCIENCE, 2756, pp. 746-753.
OCG, Vienna