Publication result detail

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

VRÁBELOVÁ, P.

Original Title

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

English Title

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

Type

Paper in proceedings outside WoS and Scopus

Original 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).

English 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

Key words in English

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

Authors

VRÁBELOVÁ, P.

RIV year

2015

Released

04.03.2014

Publisher

Brno University of Technology

Location

Brno

ISBN

978-80-214-4924-4

Book

Proceedings of the 20th Conference STUDENT EEICT 2014

Edition

Volume 3

Pages from

254

Pages to

258

Pages count

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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