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A Kernel Based Multi-resolution Time Series Analysis for Screening Deficiencies in Paper Production.
- Source :
- Advances in Neural Networks - ISNN 2006 (9783540344827); 2006, p1111-1116, 6p
- Publication Year :
- 2006
-
Abstract
- This paper is concerned with a multi-resolution tool for analysis of a time series aiming to detect abnormalities in various frequency regions. The task is treated as a kernel based novelty detection applied to a multi-level time series representation obtained from the discrete wavelet transform. Having a priori knowledge that the abnormalities manifest themselves in several frequency regions, a committee of detectors utilizing data dependent aggregation weights is build by combining outputs of detectors operating in those regions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540344827
- Database :
- Supplemental Index
- Journal :
- Advances in Neural Networks - ISNN 2006 (9783540344827)
- Publication Type :
- Book
- Accession number :
- 32862533
- Full Text :
- https://doi.org/10.1007/11760191_162