Classification of Be Stars Using Feature Extraction Based on Discrete Wavelet Transform
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106404" target="_blank" >RIV/00216305:26230/13:PU106404 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10416" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10416</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Classification of Be Stars Using Feature Extraction Based on Discrete Wavelet Transform
Original language description
The paper deals with classification of Be star spectra using discrete wavelet transform (DWT) and support vector machines (SVM).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
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 conferences Datakon and Znalosti 2013
ISBN
978-80-248-3189-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
95-102
Publisher name
VŠB-Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Oct 13, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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