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: Képfeldolgozók és alakfelismerők III. konferenciája. Domaszék.
In: KÉPAF 2007. 6th conference of Hungarian Association for Image Processing and Pattern Recognition. Debrecen, 2007..
In: Performance evaluation for computer vision. 31st AAPR/OAGM workshop. Krumbach, 2007. (books@ocg.at 224.).
In: I. magyar számítógépes grafika és geometria konferencia. Budapest.
JOURNAL OF MATHEMATICAL IMAGING AND VISION, 48 (1)., pp. 176-184. ISSN 0924-9907
In: CBMI 2007. 2007 international workshop on content-based multimedia indexing. Bordeaux, 2007..
In: PRIP 2007. Pattern recognition and information processing. Proceedings of the 9th international conference. Minsk, 2007. Vol. 1..
In: Vision with Non-traditional Sensors. 26th Workshop of the Austrian Association for Pattern Recognition. (ÖAGM/AAPR). Graz, 2002. (Österreichische Computer Gesellschaft, Band 160).
In: VII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság, Budapest, pp. 88-94.
Signal Processing: Image Communication, 22 (7-8)., pp. 680-691.