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A Kernel based multi-resolution time series analysis for screening deficiencies in paper production
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).ORCID-id: 0000-0003-2185-8973
2006 (engelsk)Inngår i: Advances in neural networks - ISNN 2006: third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006 ; proceedings. III / [ed] Jun Wang, Berlin: Springer Berlin/Heidelberg, 2006, s. 1111-1116Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Berlin: Springer Berlin/Heidelberg, 2006. s. 1111-1116
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; Volume 3973/2006
Emneord [en]
Discrete transformation, Discrete time, Discrete wavelet, Time analysis, Kernel method, Medical screening, Screening, Neural network
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-2003DOI: 10.1007/11760191ISI: 000239485300162Scopus ID: 2-s2.0-33745927697Lokal ID: 2082/2398ISBN: 978-3-540-34482-7 OAI: oai:DiVA.org:hh-2003DiVA, id: diva2:239221
Konferanse
third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006
Tilgjengelig fra: 2008-10-06 Laget: 2008-10-06 Sist oppdatert: 2018-03-23bibliografisk kontrollert

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