A4 Article in conference proceedings
Applying wavelet packet decomposition and one-class support vector machine on vehicle acceleration traces for road anomaly detection (2013)
Cong, F., Hautakangas, H., Nieminen, J., Mazhelis, O., Perttunen, M., Riekki, J., & Ristaniemi, T. (2013). Applying wavelet packet decomposition and one-class support vector machine on vehicle acceleration traces for road anomaly detection. In C. Guo, Z.-G. Hou, & Z. Zeng (Eds.), Advances in Neural Networks – ISNN 2013, 10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I (pp. 291-299). Springer. Lecture Notes in Computer Science, 7951. https://doi.org/10.1007/978-3-642-39065-4_36
JYU authors or editors
Publication details
All authors or editors: Cong, Fengyu; Hautakangas, Hannu; Nieminen, Jukka; Mazhelis, Oleksiy; Perttunen, Mikko; Riekki, Jukka; Ristaniemi, Tapani
Parent publication: Advances in Neural Networks – ISNN 2013, 10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I
Parent publication editors: Guo, Chengan; Hou, Zeng-Guang; Zeng, Zhigang
ISBN: 978-3-642-39064-7
Journal or series: Lecture Notes in Computer Science
ISSN: 0302-9743
Publication year: 2013
Number in series: 7951
Pages range: 291-299
Publisher: Springer
Place of Publication: Berlin
Publication country: Germany
Publication language: English
DOI: https://doi.org/10.1007/978-3-642-39065-4_36
Publication open access: Not open
Publication channel open access:
Free keywords: Anomaly detection; one-class; pothole; road; support vector machine; wavelet packet decomposition
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2013
JUFO rating: 1