Texture Classifiers Generated by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{song:2002:tcgbgp,
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author = "Andy Song and Vic Ciesielski and Hugh Williams",
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title = "Texture Classifiers Generated by Genetic Programming",
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booktitle = "Proceedings of the 2002 Congress on Evolutionary
Computation CEC2002",
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editor = "David B. Fogel and Mohamed A. El-Sharkawi and
Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and
Mark Shackleton",
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pages = "243--248",
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year = "2002",
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publisher = "IEEE Press",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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organisation = "IEEE Neural Network Council (NNC), Institution of
Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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ISBN = "0-7803-7278-6",
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month = "12-17 " # may,
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notes = "CEC 2002 - A joint meeting of the IEEE, the
Evolutionary Programming Society, and the IEE. Held in
connection with the World Congress on Computational
Intelligence (WCCI 2002)",
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keywords = "genetic algorithms, genetic programming, experiments,
image classification, image texture classifiers,
pattern regularities, textural characteristics, image
classification, image texture",
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DOI = "doi:10.1109/CEC.2002.1006241",
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abstract = "We investigate the behaviour of image texture
classifiers generated by genetic programming. We
propose techniques to understand how classifiers
capture textural characteristics and for discussing the
effectiveness of different classifiers. Our results
show that regularities of patterns can be detected by
the genetic programming method without predefined
knowledge",
- }
Genetic Programming entries for
Andy Song
Victor Ciesielski
Hugh Williams
Citations