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ŠKORPIL, V. LÝSEK, J. MOTYČKA, A. CEPL, M. ENDRLE, P.
Original Title
Grammatical Evolution as a Learning Process for Multiclass Object Detection
Type
conference paper
Language
English
Original Abstract
In this article we describe the usage of grammatical evolution as a learning process. Evolved programs are used as a sliding window to recognize different objects in an image. Programs are trained on a set of greyscale images with object locations and object class identification. Best individuals are tested on different sets of images of simulated technological scenes with objects of different classes and their performance is reported. Grammatical evolution uses rewriting rules to translate chromosome into a tree structure programs.
Keywords
grammatical evolution, learning, object recognition
Authors
ŠKORPIL, V.; LÝSEK, J.; MOTYČKA, A.; CEPL, M.; ENDRLE, P.
RIV year
2012
Released
1. 7. 2012
ISBN
978-1-61804-108-1
Book
Recent Researches in Communications and Computers
Pages from
101
Pages to
105
Pages count
5
BibTex
@inproceedings{BUT93427, author="Vladislav {Škorpil} and Jiří {Lýsek} and Arnošt {Motyčka} and Miroslav {Cepl} and Pavel {Endrle}", title="Grammatical Evolution as a Learning Process for Multiclass Object Detection", booktitle="Recent Researches in Communications and Computers", year="2012", pages="101--105", isbn="978-1-61804-108-1" }