The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Atmosukarto:2010:UGP:1904935.1906046,
  author =       "Indriyati Atmosukarto and Linda G. Shapiro and 
                 Carrie Heike",
  title =        "The Use of Genetic Programming for Learning {3D}
                 Craniofacial Shape Quantifications",
  booktitle =    "Proceedings of the 2010 20th International Conference
                 on Pattern Recognition",
  year =         "2010",
  editor =       "Aytul Ercil",
  pages =        "2444--2447",
  address =      "Istanbul, Turkey",
  month =        "23-26 " # aug,
  organisation = "International Association for Pattern Recognition
                 (IAPR)",
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, 3D Shape
                 quantification",
  isbn13 =       "978-0-7695-4109-9",
  URL =          "http://www.cs.washington.edu/research/VACE/Multimedia/icpr10_Atmosukarto.pdf",
  URL =          "http://grail.cs.washington.edu/pub/papers/atmosukarto2010uog.pdf",
  DOI =          "doi:10.1109/ICPR.2010.598",
  acmid =        "1906046",
  size =         "4 pages",
  abstract =     "Craniofacial disorders commonly result in various head
                 shape dysmorphologies. The goal of this work is to
                 quantify the various 3D shape variations that manifest
                 in the different facial abnormalities in individuals
                 with a craniofacial disorder called 22q11.2 Deletion
                 Syndrome. Genetic programming (GP) is used to learn the
                 different 3D shape quantifications. Experimental
                 results show that the GP method achieves a higher
                 classification rate than those of human experts and
                 existing computer algorithms [1], [2].",
  notes =        "ICPR '10",
}

Genetic Programming entries for Indriyati Atmosukarto Linda G Shapiro Carrie Heike

Citations