Mixture based outlier filtration

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SYSNO ASEP	0040543
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Ostatní články
Title	Mixture based outlier filtration
Title	Filtrace odlehlých pozorování založená na modelu směsi distribucí
Author(s)	Pecherková, Pavla (UTIA-B)_RID Nagy, Ivan (UTIA-B)_{RID, ORCID}
Source Title	Acta Polytechnica. - : České vysoké učení technické - ISSN 1210-2709 Roč. 46, č. 2 (2006), s. 30-35
Number of pages	6 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	data filtration ; system modelling ; mixture models
Subject RIV	BD - Theory of Information
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	1F43A/003/120 GA MDS - Ministry of Transport (MD)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
Annotation	In this paper, we propose an algorithm for outlier detection and removel. It is based on modelling the corrupted data by a two-component probabilistic mixture. The first component of the mixture models uncorrupted process data, while the second models outliers. When the outlier component is derected to be active, a prediction from the uncorrupted data component is computed and used as a reconstruction of the observed data. The filter exhibits fine properties, especially in the case of blocks of outliers.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2007

Number of the records: 1