Discriminant Feature Selection by Genetic Programming: Towards a domain independent multi-class object detection system

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Landry:2006:SCI,
  author =       "Jacques-Andre Landry and Luis {Da Costa} and 
                 Thomas Bernier",
  title =        "Discriminant Feature Selection by Genetic Programming:
                 Towards a domain independent multi-class object
                 detection system",
  journal =      "Systemics, Cybernetics and Informatics",
  year =         "2006",
  volume =       "3",
  number =       "1",
  pages =        "76--81",
  publisher =    "International Institute of Informatics and
                 Cybernetics",
  keywords =     "genetic algorithms, genetic programming, Feature
                 selection, pattern recognition",
  ISSN =         "1690-4524",
  URL =          "http://www.iiisci.org/Journal/sci/Abstract.asp?var=&id=P718270",
  size =         "6 pages",
  abstract =     "In order to implement a multi-class object detection
                 system, an efficient object representation is needed;
                 in this short paper, we present a feature selection
                 method based on the Genetic Programming paradigm. This
                 method allows for the identification of a set of
                 features that best represent the classes in the problem
                 at hand. The idea would then be to have a broad set of
                 features to describe any object, and then to use the
                 presented feature selection method to adapt the
                 description to the actual needs of the classification
                 problem. Furthermore, the tree like solutions generated
                 by the method can be interpreted and modified for
                 increased generality. A brief review of literature, the
                 first implementation of the method and the first
                 results are presented here. The method shows potential
                 to be used as a building block of a detection system,
                 although further experimentation is underway in order
                 to fully asses the power of the method.",
  notes =        "Ecole de Technologie Superieure, Universite du
                 quebec.

                 http://www.iiisci.org/Journal/sci/Contents.asp?var=&Previous=ISS1042",
}

Genetic Programming entries for Jacques-Andre Landry Luis E Da Costa Thomas Bernier

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