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

^*Corresponding author for this work

University of Manchester

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Original language	English
Pages (from-to)	119-127
Number of pages	9
Journal	Intelligent Data Analysis
Volume	1
Issue number	2
DOIs	https://doi.org/10.3233/IDA-1997-1205
State	Published - 1997
Externally published	Yes

Keywords

Binomial distribution
Change detection
Density estimation
Possibility theory

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10.3233/IDA-1997-1205

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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",

volume = "1",

pages = "119--127",

journal = "Intelligent Data Analysis",

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T1 - Possibilistic testing of distribution functions for change detection

AU - Wolkenhauer, Olaf

AU - Edmunds, John M.

PY - 1997

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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

Keywords

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