Multiclass Object Recognition based on Texture Linear Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{olague:evows07,
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author = "Gustavo {Olague Caballero} and Eva Romero and
Leonardo Trujillo and Bir Bhanu",
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title = "Multiclass Object Recognition based on Texture Linear
Genetic Programming",
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booktitle = "Applications of Evolutionary Computing,
EvoWorkshops2007: {EvoCOMNET}, {EvoFIN}, {EvoIASP},
{EvoInteraction}, {EvoMUSART}, {EvoSTOC},
{EvoTransLog}",
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year = "2007",
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month = "11-13 " # apr,
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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",
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series = "LNCS",
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volume = "4448",
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publisher = "Springer Verlag",
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address = "Valencia, Spain",
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pages = "291--300",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-71804-8",
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URL = "http://cienciascomp.cicese.mx/evovision/olague-evoiasp07.pdf",
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DOI = "doi:10.1007/978-3-540-71805-5_32",
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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.",
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notes = "EvoWorkshops2007",
- }
Genetic Programming entries for
Gustavo Olague
Eva Romero
Leonardo Trujillo
Bir Bhanu
Citations