Possibilistic testing of distribution functions for change detection

Olaf Wolkenhauer; John M. Edmunds

doi:10.3233/IDA-1997-1205

Possibilistic testing of distribution functions for change detection

Olaf Wolkenhauer^*
, John M. Edmunds

^*Korrespondierende/r Autor/-in für diese Arbeit

University of Manchester

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

6 Zitate (Scopus)

Abstract

Change detection algorithms are proposed that are based on the comparison of distribution functions. Estimated values of distributions are associated with a binomial distribution that is used to define fuzzy similarity classes. Fuzzy concepts are used to combine partial evaluations to a measure that indicates the departure of a signal from its reference.

Originalsprache	Englisch
Seiten (von - bis)	119-127
Seitenumfang	9
Fachzeitschrift	Intelligent Data Analysis
Jahrgang	1
Ausgabenummer	2
DOIs	https://doi.org/10.3233/IDA-1997-1205
Publikationsstatus	Veröffentlicht - 1997
Extern publiziert	Ja

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title = "Possibilistic testing of distribution functions for change detection",

abstract = "Change detection algorithms are proposed that are based on the comparison of distribution functions. Estimated values of distributions are associated with a binomial distribution that is used to define fuzzy similarity classes. Fuzzy concepts are used to combine partial evaluations to a measure that indicates the departure of a signal from its reference.",

keywords = "Binomial distribution, Change detection, Density estimation, Possibility theory",

author = "Olaf Wolkenhauer and Edmunds, \{John M.\}",

year = "1997",

doi = "10.3233/IDA-1997-1205",

language = "English",

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journal = "Intelligent Data Analysis",

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AU - Wolkenhauer, Olaf

AU - Edmunds, John M.

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AB - Change detection algorithms are proposed that are based on the comparison of distribution functions. Estimated values of distributions are associated with a binomial distribution that is used to define fuzzy similarity classes. Fuzzy concepts are used to combine partial evaluations to a measure that indicates the departure of a signal from its reference.

KW - Binomial distribution

KW - Change detection

KW - Density estimation

KW - Possibility theory

UR - https://www.scopus.com/pages/publications/0008531764

U2 - 10.3233/IDA-1997-1205

DO - 10.3233/IDA-1997-1205

M3 - Article

AN - SCOPUS:0008531764

SN - 1088-467X

VL - 1

SP - 119

EP - 127

JO - Intelligent Data Analysis

JF - Intelligent Data Analysis

IS - 2

ER -

Possibilistic testing of distribution functions for change detection

Abstract

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