Genetic Programming Based Classifier in Viola-Jones RapidMiner Image Mining Extension

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU103301" target="_blank" >RIV/00216305:26220/13:PU103301 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Genetic Programming Based Classifier in Viola-Jones RapidMiner Image Mining Extension
Original language description
This paper presents a new approach to the classifier design used in the Viola-Jones object detector implemented in RadpidMiner Image Mining Extension. The new approach to the classifier design proposed in this paper is in fact creation of a classification tree designed by a genetic programming algorithm. The resulting classifier is used as an alternative approach to the standard cascade classifier designed by a genetic algorithm. In this paper, a classifier design is shown, the incorporation into the Viola-Jones operator is described, and experimental results of face classification process are depicted and compared to the standard cascade classifier designed by genetic algorithm.
Czech name
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Czech description
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Project
<a href="/en/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Research and development of technology for machine emotion detection in unstructured data</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2013 36th International Conference on Telecommunications and Signal Processing
ISBN
978-1-4799-0402-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
872-876
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Rome
Event date
Jul 2, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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