Computational Optical Sensing and Processing Laboratory
The main research challenge of our laboratory is to derive precise abstract information or decisions from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements such as different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera-based patient monitoring systems or wide-angle multi-camera systems in monitoring. The heavy computational load is handled by many-core processor arrays, such as GPUs in desktop applications or embedded low-power systems.
Publication date
1993
MTA SZTAKI, Budapest, pp. 6.
A framework for the classification of auditory signals with cellular neural networks (Research report of the Dual and Neural Computing Systems Laboratory DNS-3-1993.)
In: IEEE International Symposium on Circuits and Systems, ISCAS 2015 Proceedings - IEEE International Symposium on Circuits and Systems (2015-J) IEEE, New York, pp. 1981-1984. ISSN 0271-4310
Emulating massively parallel non-Boolean operators on FPGA
In: TWLT 6. Natural language parsing. Methods and formalisms. ACL/SIGPARSE workshop. Proceedings of the sixth Twente workshop on language technology. Enschede, 1993.
Multi-agent systems in natural language processing
In: IEEE International Symposium on Circuits and Systems, ISCAS 2015 Proceedings - IEEE International Symposium on Circuits and Systems (2015-J) IEEE, New York, pp. 1973-1976. ISSN 0271-4310
Cellular sensor-processor array based visual collision warning sensor
A multilayer cellular neural network model of the two pathways of the retina related to dark adaptation. (Katholieke Universiteit Leuven. Department Elektrotechniek. ESAT-SISTA/TR 1993-33I)