Evolving Texture Image Descriptors Using a Multitree Genetic Programming Representation

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

@InProceedings{Al-Sahaf:2017:GECCO,

• author = "Harith Al-Sahaf and Bing Xue and Mengjie Zhang",
• title = "Evolving Texture Image Descriptors Using a Multitree Genetic Programming Representation",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "219--220",
• size = "2 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3076039",
• DOI = "doi:10.1145/3067695.3076039",
• acmid = "3076039",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, multiclass classification, multitree, textures",
• month = "15-19 " # jul,
• abstract = "Image descriptors play very important roles in a wide range of applications in computer vision and pattern recognition. In this paper, a multitree genetic programming method to automatically evolve image descriptors for multiclass texture image classification task is proposed. Instead of using domain knowledge, the proposed method uses only a few instances of each class to automatically identify a set of features that are distinctive between the instances of different classes. The results on seven texture classification datasets show significant, or comparable, performance has been achieved by the proposed method compared with the baseline method and six state-of-the-art methods.",
• notes = "Also known as \cite{Al-Sahaf:2017:ETI:3067695.3076039} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for Harith Al-Sahaf Bing Xue Mengjie Zhang

Citations