An Adaptive On-Line Evolutionary Visual System

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Marc Ebner",
  title =        "An Adaptive On-Line Evolutionary Visual System",
  booktitle =    "Second IEEE International Conference on Self-Adaptive
                 and Self-Organizing Systems Workshops, SASOW 2008",
  year =         "2008",
  editor =       "E. Hart and B. Paechter and J. Willies",
  pages =        "84--89",
  address =      "Venice",
  month =        "20-24 " # oct,
  organisation = "IEEE",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, GPU, adaptive
                 online evolutionary visual system, evolutionary
                 computer vision, training images, adaptive systems,
                 computer vision, evolutionary computation",
  DOI =          "doi:10.1109/SASOW.2008.18",
  size =         "6 pages",
  abstract =     "In evolutionary computer vision, algorithms are
                 usually evolved which address one particular computer
                 vision problem. Quite often, a set of training images
                 is used to evolve an algorithm. Another set of images
                 is then used to evaluate the performance of those
                 algorithms. In contrast of this standard form of
                 algorithm evolution, it is proposed to develop a vision
                 system which continuously evolves algorithms based on
                 the task at hand. This adaptation of computer vision
                 algorithms would happen on-line for every image which
                 is presented to the system. Such a system would
                 continuously adapt to new environmental conditions.",
  notes =        "Workshop on Pervasive Adaptation. Also known as

Genetic Programming entries for Marc Ebner