TY - GEN
T1 - An automatic tool to design CNN-UM programs
AU - Pazienza, Giovanni Egidio
AU - Vilasis-Cardona, Xavier
AU - Karacs, Kristóf
PY - 2007
Y1 - 2007
N2 - Programs for the Cellular Neural Network - Universal Machine are usually designed explicitly, and there is no method to create them automatically. In this paper we present a tool, based on a genetic approach, capable of determining what CNN templates compose a CNN-UM program performing a given image processing task, and in which order they must be applied to the input. The effectiveness of our system is demonstrated experimentally on real-life problems, like the route number detection on public transport vehicles.
AB - Programs for the Cellular Neural Network - Universal Machine are usually designed explicitly, and there is no method to create them automatically. In this paper we present a tool, based on a genetic approach, capable of determining what CNN templates compose a CNN-UM program performing a given image processing task, and in which order they must be applied to the input. The effectiveness of our system is demonstrated experimentally on real-life problems, like the route number detection on public transport vehicles.
UR - https://www.scopus.com/pages/publications/49749152414
U2 - 10.1109/ECCTD.2007.4529640
DO - 10.1109/ECCTD.2007.4529640
M3 - Conference contribution
AN - SCOPUS:49749152414
SN - 1424413427
SN - 9781424413423
T3 - European Conference on Circuit Theory and Design 2007, ECCTD 2007
SP - 492
EP - 495
BT - European Conference on Circuit Theory and Design 2007, ECCTD 2007
PB - IEEE Computer Society
T2 - European Conference on Circuit Theory and Design 2007, ECCTD 2007
Y2 - 26 August 2007 through 30 August 2007
ER -