Typed Cartesian Genetic Programming for Image Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @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