Conference paper

VRÁBELOVÁ Pavla. Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra. In: Proceedings of the 20th Conference STUDENT EEICT 2014. Brno: Brno University of Technology, 2014, pp. 254-258. ISBN 978-80-214-4924-4.
Publication language:english
Original title:Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra
Title (cs):Porovnání vlnkových metod extrakce rysů na klasifikaci spekter emisních čar hvězd
Pages:254-258
Proceedings:Proceedings of the 20th Conference STUDENT EEICT 2014
Conference:Student EEICT 2014
Series:Volume 3
Place:Brno, CZ
Year:2014
ISBN:978-80-214-4924-4
Publisher:Brno University of Technology
Files: 
+Type Name Title Size Last modified
iconprispevek_final.pdf100 KB2014-03-04 20:30:50
^ Select all
With selected:
Keywords
Be star, stellar spectrum, emission line, feature extraction, wavelet transform, classification, support vector machines, SVM
Annotation
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{
   author = {Pavla Vr{\'{a}}belov{\'{a}}},
   title = {Comparison of Wavelet Based Feature Extraction Methods in
	Classification of Emission Line Stellar Spectra},
   pages = {254--258},
   booktitle = {Proceedings of the 20th Conference STUDENT EEICT 2014},
   series = {Volume 3},
   year = {2014},
   location = {Brno, CZ},
   publisher = {Brno University of Technology},
   ISBN = {978-80-214-4924-4},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10552}
}

Your IPv4 address: 54.91.171.137
Switch to IPv6 connection

DNSSEC [dnssec]