Multiclass Object Recognition based on Texture Linear Genetic Programming

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

@InProceedings{olague:evows07,
  author =       "Gustavo {Olague Caballero} and Eva Romero and 
                 Leonardo Trujillo and Bir Bhanu",
  title =        "Multiclass Object Recognition based on Texture Linear
                 Genetic Programming",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoWorkshops2007: {EvoCOMNET}, {EvoFIN}, {EvoIASP},
                 {EvoInteraction}, {EvoMUSART}, {EvoSTOC},
                 {EvoTransLog}",
  year =         "2007",
  month =        "11-13 " # apr,
  editor =       "Mario Giacobini and Anthony Brabazon and 
                 Stefano Cagnoni and Gianni A. {Di Caro} and Rolf Drechsler and 
                 Muddassar Farooq and Andreas Fink and 
                 Evelyne Lutton and Penousal Machado and Stefan Minner and 
                 Michael O'Neill and Juan Romero and Franz Rothlauf and 
                 Giovanni Squillero and Hideyuki Takagi and A. Sima Uyar and 
                 Shengxiang Yang",
  series =       "LNCS",
  volume =       "4448",
  publisher =    "Springer Verlag",
  address =      "Valencia, Spain",
  pages =        "291--300",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-71804-8",
  URL =          "http://cienciascomp.cicese.mx/evovision/olague-evoiasp07.pdf",
  DOI =          "doi:10.1007/978-3-540-71805-5_32",
  abstract =     "This paper presents a linear genetic programming
                 approach, that solves simultaneously the region
                 selection and feature extraction tasks, that are
                 applicable to common image recognition problems. The
                 method searches for optimal regions of interest, using
                 texture information as its feature space and
                 classification accuracy as the fitness function.
                 Texture is analysed based on the gray level
                 Co-occurrence matrix and classification is carried out
                 with a SVM committee. Results show effective
                 performance compared with previous results using a
                 standard image database.",
  notes =        "EvoWorkshops2007",
}

Genetic Programming entries for Gustavo Olague Eva Romero Leonardo Trujillo Bir Bhanu

Citations