About: Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-642-41822-8_7
Description	Single-Gaussian and Gaussian-Mixture Models are utilized in various pattern recognition tasks. The model parameters are estimated usually via Maximum Likelihood Estimation (MLE) with respect to available training data. However, if only small amount of training data is available, the resulting model will not generalize well. Loosely speaking, classification performance given an unseen test set may be poor. In this paper, we propose a novel estimation technique of the model variances. Once the variances were estimated using MLE, they are multiplied by a scaling factor, which reflects the amount of uncertainty present in the limited sample set. The optimal value of the scaling factor is based on the Kullback-Leibler criterion and on the assumption that the training and test sets are sampled from the same source distribution. In addition, in the case of GMM, the proper number of components can be determined. Single-Gaussian and Gaussian-Mixture Models are utilized in various pattern recognition tasks. The model parameters are estimated usually via Maximum Likelihood Estimation (MLE) with respect to available training data. However, if only small amount of training data is available, the resulting model will not generalize well. Loosely speaking, classification performance given an unseen test set may be poor. In this paper, we propose a novel estimation technique of the model variances. Once the variances were estimated using MLE, they are multiplied by a scaling factor, which reflects the amount of uncertainty present in the limited sample set. The optimal value of the scaling factor is based on the Kullback-Leibler criterion and on the assumption that the training and test sets are sampled from the same source distribution. In addition, in the case of GMM, the proper number of components can be determined. (en)
Title	Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition (en)
skos:prefLabel	Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition (en)
skos:notation	RIV/49777513:23520/13:43920627!RIV14-TA0-23520___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(TA01011264)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Vaněk, Jan Psutka, Josef Machlica, Lukáš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	73286
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/13:43920627
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Scaling; Variance; Kullback-Leibler Divergence; Gaussian Mixture Model; Maximum Likelihood Estimation (en)
http://linked.open.../riv/klicoveSlovo	Gaussian Mixture Model Kullback-Leibler Divergence Maximum Likelihood Estimation Scaling Variance
http://linked.open...ontrolniKodProRIV	[E484D7C3AF9F]
http://linked.open...v/mistoKonaniAkce	Havana, Cuba
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Progress in Pattern Recognition, Image Analysis, ComputerVision, and Applications
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Elimination of the language barriers faced by the handicapped watchers of the Czech Television II
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Psutka, Josef Vaněk, Jan Machlica, Lukáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-11-20 (xsd:date)
issn	0302-9743
number of pages	8 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/978-3-642-41822-8_7
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-41821-1
http://localhost/t...ganizacniJednotka	23520

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