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The use of probability density functions to improve the interpretation of FSV results

  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • De Montfort University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents research undertaken using a continuous probability density function as a supplement to the confidence histograms in Feature Selective Validation. Such an approach shares the benefits of categorisation from a humanuser perspective but, because of the continuous nature of the distribution, it also allows further inter-comparison analysis to be undertaken such as using non-parametric tests on the distributions. This approach improves the analysis of FSV data when multiple comparisons are required to be performed.

Original languageEnglish
Title of host publicationEMC 2012 - 2012 IEEE International Symposium on Electromagnetic Compatibility, Final Program
Pages685-689
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE International Symposium on Electromagnetic Compatibility, EMC 2012 - Pittsburgh, PA, United States
Duration: 5 Aug 201210 Aug 2012

Publication series

NameIEEE International Symposium on Electromagnetic Compatibility
ISSN (Print)1077-4076
ISSN (Electronic)2158-1118

Conference

Conference2012 IEEE International Symposium on Electromagnetic Compatibility, EMC 2012
Country/TerritoryUnited States
CityPittsburgh, PA
Period5/08/1210/08/12

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