About: Learning Entropy for Novelty Detection: A Cognitive Approach for Adaptive Filters

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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)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeeexplore.com/stamp/stamp.jsp?tp=&arnumber=6943329
Description	This paper recalls the practical calculation of Learning Entropy (LE) for novelty detection, extends it for various gradient techniques and discusses its use for multivariate dynamical systems with ability of distinguishing between data perturbations or system-function perturbations. LE has been recently introduced for novelty detection in time series via supervised incremental learning of polynomial filters, i.e. higher-order neural units (HONU). This paper demonstrates LE also on enhanced gradient descent adaptation techniques that are adopted and summarized for HONU. As an aside, LE is proposed as a new performance index of adaptive filters. Then, we discuss Principal Component Analysis and Kernel PCA for HONU as a potential method to suppress detection of data-measurement perturbations and to enforce LE for system-perturbation novelties. This paper recalls the practical calculation of Learning Entropy (LE) for novelty detection, extends it for various gradient techniques and discusses its use for multivariate dynamical systems with ability of distinguishing between data perturbations or system-function perturbations. LE has been recently introduced for novelty detection in time series via supervised incremental learning of polynomial filters, i.e. higher-order neural units (HONU). This paper demonstrates LE also on enhanced gradient descent adaptation techniques that are adopted and summarized for HONU. As an aside, LE is proposed as a new performance index of adaptive filters. Then, we discuss Principal Component Analysis and Kernel PCA for HONU as a potential method to suppress detection of data-measurement perturbations and to enforce LE for system-perturbation novelties. (en)
Title	Learning Entropy for Novelty Detection: A Cognitive Approach for Adaptive Filters Learning Entropy for Novelty Detection: A Cognitive Approach for Adaptive Filters (en)
skos:prefLabel	Learning Entropy for Novelty Detection: A Cognitive Approach for Adaptive Filters Learning Entropy for Novelty Detection: A Cognitive Approach for Adaptive Filters (en)
skos:notation	RIV/68407700:21220/14:00224887!RIV15-MSM-21220___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Cejnek, Matouš Beneš, Peter Mark Oswald, Cyril Bukovský, Ivo
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	České vysoké učení technické v Praze / Fakulta strojní
http://linked.open...dnocenehoVysledku	25842
http://linked.open...ai/riv/idVysledku	RIV/68407700:21220/14:00224887
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Learning entropy; novelty detection; cognitive approach; adaptive filters; Principal Component Analysis; gradient descent (en)
http://linked.open.../riv/klicoveSlovo	Learning entropy novelty detection Principal Component Analysis cognitive approach gradient descent adaptive filters
http://linked.open...ontrolniKodProRIV	[FBE292B5B4D8]
http://linked.open...v/mistoKonaniAkce	Edinburgh
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	Sensor Signal Processing for Defence (SSPD), 2014
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Oswald, Cyril Bukovský, Ivo Beneš, Peter Mark Cejnek, Matouš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000349464000026
http://linked.open.../riv/zahajeniAkce	2014-09-08 (xsd:date)
number of pages	5 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/SSPD.2014.6943329
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-5294-6
http://localhost/t...ganizacniJednotka	21220

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