Typed Cartesian Genetic Programming for Image Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Cattani:2009:UKCI,

• title = "Typed Cartesian Genetic Programming for Image Classification",
• author = "Phil T. Cattani and Colin G. Johnson",
• booktitle = "UK workshop on Computational Intelligence",
• year = "2009",
• address = "Nottingham",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.414.9907",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.414.9907",
• URL = "http://www.cs.kent.ac.uk/pubs/2009/2971/content.pdf",
• abstract = "This paper introduces an extension to Cartesian Genetic Programming (CGP), aimed at image classification problems. Individuals in the population consist of two layers of functions: image processing functions, and traditional mathematical functions. Information can be passed between these layers, and the final result can either be an image or a numerical value. This has been applied to image classification, by using CGP to evolve image processing algorithms for feature extraction. This paper presents results which show that these automatically extracted features can substantially increase classification accuracy on a medical problem concerned with the analysis of potentially cancerous cells.",
• notes = "UKCI 2009 website gone",

}

Genetic Programming entries for Philip T Cattani Colin G Johnson

Citations