A New Program Structure in Genetic Programming for Object Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Yun Zhang and Mengjie Zhang",
  title =        "A New Program Structure in Genetic Programming for
                 Object Classification",
  booktitle =    "Proceeding of Image and Vision Computing NZ
                 International Conference",
  year =         "2004",
  editor =       "David Pairman and Heather North and Stephen McNeill",
  pages =        "459--465",
  month =        nov,
  publisher =    "Lincoln, Landcare Research",
  address =      "Akaroa, New Zealand",
  keywords =     "genetic algorithms, genetic programming, image
                 recognition, multiple class object classification,
                 modifying based program structure, Modi",
  URL =          "http://www.mcs.vuw.ac.nz/~mengjie/papers/1052-yun-meng-ivcnz04.pdf",
  size =         "6 pages",
  abstract =     "genetic programming (GP) for multiclass object
                 classification. Instead of using the standard GP
                 approach where each genetic program returns just one
                 floating number that is then translated into different
                 class labels, this approach invents a new program
                 structure called Modi with multiple outputs. A voting
                 scheme is then applied to these output values to
                 determine the class of the input object. The approach
                 is examined and compared with the basic GP approach on
                 four multiclass object classification tasks with
                 increasing difficulty. The results show that the new
                 approach always outperforms the basic approach with
                 controllable proper setting.",
  notes =        "Fri, 02 Jun 2006 17:03:20 +0800",

Genetic Programming entries for Yun Zhang Mengjie Zhang