Genetic Programming for Automatic Generation of Image Processing Algorithms on the CNN Neuroprocessing Architecture

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "Genetic Programming for Automatic Generation of Image
                 Processing Algorithms on the {CNN} Neuroprocessing
  author =       "Victor M. Preciado and Miguel A. Preciado and 
                 Miguel A. {Jaramillo Moran}",
  publisher =    "Springer",
  year =         "2003",
  volume =       "3040",
  editor =       "Ricardo Conejo and Maite Urretavizcaya and 
                 Jos{\'e}-Luis P{\'e}rez-de-la-Cruz",
  pages =        "374--383",
  series =       "Lecture Notes in Computer Science",
  booktitle =    "Current Topics in Artificial Intelligence 10th
                 Conference of the Spanish Association for Artificial
                 Intelligence, CAEPIA 2003, and 5th Conference on
                 Technology Transfer, TTIA 2003. Revised Selected
  address =      "San Sebastian, Spain",
  month =        nov # " 12-14",
  keywords =     "genetic algorithms, genetic programming",
  bibdate =      "2004-07-08",
  bibsource =    "DBLP,
  ISBN =         "3-540-22218-9",
  DOI =          "doi:10.1007/b98369",
  size =         "10 pages",
  abstract =     "The Cellular Neural Network Universal Machine (CNN-UM)
                 is a novel neuroprocessor algorithmically programmable
                 having real time and supercomputer power implemented in
                 a single VLSI chip. The local CNN connectivity provides
                 an useful computation paradigm when the problem can be
                 reformulated as a well-defined task where the signal
                 values are placed on a regular 2-D grid (i.e., image
                 processing), and the direct interaction between signal
                 values are limited within a local neighbourhood. This
                 paper introduces a Genetic Programming technique to
                 evolve both the structure and parameters of visual
                 algorithms on this architecture. This is accomplished
                 by defining a set of node functions and terminals to
                 implement the basic operations commonly used. Lastly,
                 the procedures involved in the use of the algorithm are
                 illustrated by several applications.",

Genetic Programming entries for Victor M Preciado Miguel A Preciado Miguel Angel Jaramillo Moran