A Domain Independent Approach to 2D Object Detection Based on the Neural and Genetic Paradigms

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

@PhdThesis{mengjie-thesis,
  author =       "Mengjie Zhang",
  title =        "A Domain Independent Approach to 2D Object Detection
                 Based on the Neural and Genetic Paradigms",
  school =       "Department of Computer Science, RMIT University",
  year =         "2000",
  address =      "Melbourne, Victoria, Australia",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming, ANN, computer
                 vision",
  URL =          "http://www.mcs.vuw.ac.nz/~mengjie/papers/mengjie-thesis.pdf",
  URL =          "http://goanna.cs.rmit.edu.au/~vc/papers/zhang-phd.pdf",
  URL =          "http://citeseer.ist.psu.edu/zhang00domain.html",
  size =         "255 pages",
  abstract =     "The development of traditional object detection
                 systems usually involves a time consuming investigation
                 of good preprocessing and filtering methods and a
                 hand-crafting of different programs for the extraction
                 and selection of important image features in different
                 problem domains. To avoid these problems, this thesis
                 describes a domain independent approach to multiple
                 class, translation and rotation invariant object
                 detection problems without any preprocessing,
                 segmentation and specific feature extraction. The
                 approach is based on learning/adaptive methods --
                 neural networks, genetic algorithms and genetic
                 programming. Rather than using...

                 6th 'a method which uses genetic programming to build
                 the object detector'. Retina images.",
  notes =        "

                 ",
}

Genetic Programming entries for Mengjie Zhang

Citations