Multiclass Object Recognition based on Texture Linear Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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