An Automatic Tool to Design CNN-Um Programs
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- @InProceedings{Pazienza:2007:ECCTD,
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author = "Giovanni Egidio Pazienza and Kristof Karacs and
Xavier Vilasis-Cardona",
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title = "An Automatic Tool to Design CNN-Um Programs",
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booktitle = "European Conference on Circuit Theory and Design,
ECCTD 2007",
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year = "2007",
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pages = "492--495",
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address = "Seville, Spain",
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month = aug,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, Analogic
algorithms design, CNN-UM programs, Automatic design,
Image processing, Algorithm design and analysis, Analog
computers, Binary trees, Cellular neural networks,
Computer networks, Genetics, Image processing, Turing
machines, Vehicle detection, Vehicles, cellular neural
nets, digital signal processing chips, image
processing, neural chips, CNN-UM program, automatic
tool, cellular neural network universal machine,
genetic approach, image processing task",
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DOI = "doi:10.1109/ECCTD.2007.4529640",
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abstract = "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.",
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notes = "Paper ID 5290
http://www.epapers.org/ecctd2007/ESR/paper_details.php?PHPSESSID=c19bb9ba66bd6d226e6533143786425e&paper_id=5290",
- }
Genetic Programming entries for
Giovanni Egidio Pazienza
Kristof Karacs
Xavier Vilasis Cardona
Citations