Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU111944" target="_blank" >RIV/00216305:26230/14:PU111944 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10552" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10552</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra
Original language description
The paper compares different wavelet transforms, wavelets, and statistical metrics in attempt to find the best feature extraction method for classification of Be star spectra using 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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
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 20th Conference STUDENT EEICT 2014
ISBN
978-80-214-4924-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
254-258
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Apr 24, 2014
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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