Result Details

Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra

VRÁBELOVÁ, P. Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra. Proceedings of the 20th Conference STUDENT EEICT 2014. Volume 3. Brno: Brno University of Technology, 2014. p. 254-258. ISBN: 978-80-214-4924-4.
Type
conference paper
Language
English
Authors
Vrábelová Pavla, Ing., FIT (FIT), DIFS (FIT)
Abstract

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).

Keywords

Be star, stellar spectrum, emission line, feature extraction, wavelet transform, classification, support vector machines, SVM

Published
2014
Pages
254–258
Proceedings
Proceedings of the 20th Conference STUDENT EEICT 2014
Series
Volume 3
Conference
Student EEICT 2014
ISBN
978-80-214-4924-4
Publisher
Brno University of Technology
Place
Brno
BibTeX 
@inproceedings{BUT111539,
  author="Pavla {Vrábelová}",
  title="Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra",
  booktitle="Proceedings of the 20th Conference STUDENT EEICT 2014",
  year="2014",
  series="Volume 3",
  pages="254--258",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-4924-4",
  url="https://www.fit.vut.cz/research/publication/10552/"
}
Files
Projects
Advanced recognition and presentation of multimedia data, BUT, Vnitřní projekty VUT, FIT-S-11-2, start: 2011-01-01, end: 2013-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Information and Database Systems Research Group (RG IS)
Departments
Department of Information Systems (DIFS)
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