Detail publikace

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

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

Jazyk

en

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).

BibTex 


@inproceedings{BUT111539,
  author="Pavla {Vrábelová}",
  title="Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra",
  annote="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).",
  address="Brno University of Technology",
  booktitle="Proceedings of the 20th Conference STUDENT EEICT 2014",
  chapter="111539",
  edition="Volume 3",
  howpublished="print",
  institution="Brno University of Technology",
  year="2014",
  month="march",
  pages="254--258",
  publisher="Brno University of Technology",
  type="conference paper"
}