Feature Extraction and Classification by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "Feature Extraction and Classification by Genetic
  author =       "Olly Oechsle and Adrian F. Clark",
  bibdate =      "2008-05-15",
  bibsource =    "DBLP,
  booktitle =    "6th International Conference Computer Vision Systems,
                 ICVS 2008",
  publisher =    "Springer",
  year =         "2008",
  volume =       "5008",
  editor =       "Antonios Gasteratos and Markus Vincze and 
                 John K. Tsotsos",
  isbn13 =       "978-3-540-79546-9",
  pages =        "131--140",
  series =       "Lecture Notes in Computer Science",
  DOI =          "doi:10.1007/978-3-540-79547-6_13",
  address =      "Santorini, Greece",
  month =        may # " 12-15",
  keywords =     "genetic algorithms, genetic programming",
  size =         "10 pages",
  abstract =     "This paper explores the use of genetic programming for
                 constructing vision systems. A two-stage approach is
                 used, with separate evolution of the feature extraction
                 and classification stages. The strategy taken for the
                 classifier is to evolve a set of partial solutions,
                 each of which works for a single class. It is found
                 that this approach is significantly faster than
                 conventional genetic programming, and frequently
                 results in a better classifier. The effectiveness of
                 the approach is explored on three classification

Genetic Programming entries for Olly Oechsle Adrian F Clark