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» Texture Segmentation by Genetic Programming
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GECCO
2004
Springer
151views Optimization» more  GECCO 2004»
10 years 6 months ago
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of diļ¬€erent textures are used as inputs ...
Brian T. Lam, Victor Ciesielski
ISMB
1994
10 years 2 months ago
Evolution of a Computer Program for Classifying Protein Segments as Transmembrane Domains Using Genetic Programming
The recently-developedgenetic programming paradigmisused to evoIve a computer program to classify a given protein segment as being a transmembrane domainor non-uansmembranearea of...
John R. Koza
CG
2002
Springer
10 years 1 months ago
Gentropy: evolving 2D textures
Gentropy is a genetic programming system that evolves two-dimensional procedural textures. It synthesizes textures by combining mathematical and image manipulation functions into ...
Andrea L. Wiens, Brian J. Ross
EVOW
2007
Springer
10 years 5 months ago
Multiclass Object Recognition Based on Texture Linear Genetic Programming
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...
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