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.
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IEEE JOURNAL OF SOLID-STATE CIRCUITS, 32 (7)., pp. 1013-1026.
IEEE Transactions on Image Processing, 16 (2)., pp. 503-510.
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
In: CIVR 2007. Proceedings of the 6th ACM international conference on image and video retrieval. Amsterdam, 2007..
In: Cellular Neural Networks and Their Applications. Proceedings of the 7th IEEE International Workshop.
In: Computer analysis of images and patterns. 7th international conference. CAIP '97. Kiel, 1997. (Lecture notes in computer science, 1296.).
INRIA, Sophia Antipolis.
MTA SZTAKI, Budapest, pp. 17.
In: Signal and data processing of small targets 2007. SPIE optics+photonics. San Diego, 2007. (Proceedings of SPIE 6699.).
In: Proceedings 16th International Conference on Pattern Recognition (ICPR 2002) Vol. III. Québec.