Evolving Automatic Target Detection Algorithms that logically Combine Decision Spaces

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

@InProceedings{benson5,
  author =       "Karl A Benson",
  title =        "Evolving Automatic Target Detection Algorithms that
                 logically Combine Decision Spaces",
  booktitle =    "Proceedings of the 11th British Machine Vision
                 Conference",
  year =         "2000",
  pages =        "685--694",
  address =      "Bristol, UK",
  month =        "11-14 " # sep,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.bmva.ac.uk/bmvc/2000/papers/p69.pdf",
  abstract =     "classification Discriminant functions are constructed
                 by combining selected features from the feature set
                 with simple mathematical functions such as ?????

                 These discriminant functions are capable of forming
                 nonlinear discontinuous hypersurfaces. For multimodal
                 data more than one discriminant function may be
                 combined with logical operators before classification
                 is performed. An algorithm capable of making decisions
                 as to whether a combination of discriminant functions
                 is needed to classify a data sample, or whether a
                 single discriminant function will suffice, is
                 developed. The algorithms used to perform
                 classification are not written by a human. The
                 algorithms are learnt, or rather evolved, using
                 Evolutionary Computing techniques",
  notes =        "

                 ",
}

Genetic Programming entries for Karl A Benson

Citations