Texture Classifiers Generated by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{song:2002:tcgbgp,
  author =       "Andy Song and Vic Ciesielski and Hugh Williams",
  title =        "Texture Classifiers Generated by Genetic Programming",
  booktitle =    "Proceedings of the 2002 Congress on Evolutionary
                 Computation CEC2002",
  editor =       "David B. Fogel and Mohamed A. El-Sharkawi and 
                 Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and 
                 Mark Shackleton",
  pages =        "243--248",
  year =         "2002",
  publisher =    "IEEE Press",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  organisation = "IEEE Neural Network Council (NNC), Institution of
                 Electrical Engineers (IEE), Evolutionary Programming
                 Society (EPS)",
  ISBN =         "0-7803-7278-6",
  month =        "12-17 " # may,
  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)",
  keywords =     "genetic algorithms, genetic programming, experiments,
                 image classification, image texture classifiers,
                 pattern regularities, textural characteristics, image
                 classification, image texture",
  DOI =          "doi:10.1109/CEC.2002.1006241",
  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