Genetic Programming for Object Detection

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Jay F. Winkeler and B. S. Manjunath",
  title =        "Genetic Programming for Object Detection",
  booktitle =    "Genetic Programming 1997: Proceedings of the Second
                 Annual Conference",
  editor =       "John R. Koza and Kalyanmoy Deb and Marco Dorigo and 
                 David B. Fogel and Max Garzon and Hitoshi Iba and 
                 Rick L. Riolo",
  year =         "1997",
  month =        "13-16 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  pages =        "330--335",
  address =      "Stanford University, CA, USA",
  publisher_address = "San Francisco, CA, USA",
  publisher =    "Morgan Kaufmann",
  URL =          "",
  URL =          "",
  size =         "6 pages",
  abstract =     "This paper examines genetic programming as a machine
                 learning technique in the context of object detection.
                 Object detection is performed on image features and on
                 gray-scale images themselves, with different goals. The
                 generality of the solutions discovered, over the
                 training set and over a wider range of images, is
                 tested in both cases. Using genetic programming as a
                 means of testing the utility of algorithms is also
                 explored. Two programs generated using different
                 features are hierarchically combined, improving the
                 results to 1.4percent false negatives on an untrained
                 image, while saving processing.",
  notes =        "GP-97",

Genetic Programming entries for Jay F Winkeler B S Manjunath