Grammatical Evolution as a Learning Process for Multiclass Object Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F12%3A00199645" target="_blank" >RIV/62156489:43110/12:00199645 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Grammatical Evolution as a Learning Process for Multiclass Object Detection
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 16th WSEAS International Conference on Communications (part of CSCC '12)
ISBN
978-1-61804-109-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
101-105
Publisher name
WSEAS
Place of publication
Kos Island, Greece
Event location
Kos Island, Greece
Event date
Jan 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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