Detail publikačního výsledku

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

VRÁBELOVÁ, P.

Originální název

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

Anglický název

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

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

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).

Anglický abstrakt

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).

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

VRÁBELOVÁ, P.

Rok RIV

2015

Vydáno

04.03.2014

Nakladatel

Brno University of Technology

Místo

Brno

ISBN

978-80-214-4924-4

Kniha

Proceedings of the 20th Conference STUDENT EEICT 2014

Edice

Volume 3

Strany od

254

Strany do

258

Strany počet

5

URL

https://www.fit.vut.cz/research/publication/10552/

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/"
}

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