Corporate Website
Contacts
it
Technology Transfer
About us
Patents
Publications
News
Search
en
Created with Sketch.
Close menu
English
italiano
Back
it
Close menu
About us
Patents
Publications
News
Corporate Website
Contacts
Lista pubblicazioni
View PUB_LIST
Version:
1.1
Approved
it-IT
it-IT
en-US
LDO-ID
2014-05-07-01
Title
Comparison of identity fusion algorithms using estimations of confusion matrices
Abstract
Scope of this paper is to investigate the performances of different identity declaration fusion algorithms in terms of probability of correct classification, supposing that the information for combination of the inferences from the different classifier is affected by measurement errors. In particular, these information have been assumed to be provided in the form of confusion matrices. Six identity fusion algorithms from literature with different complexity have been included in the comparison: heuristic methods such as voting and Borda Count, Bayes’ and Dempster-Shafer’s methods and the Proportional Redistribution Rule n° 1 in the Dempster-Shafer’s framework.
Authors
Golino Giovanni, Graziano Antonio, Farina Alfonso, Mellano Walter, Ciaramaglia Franco
Type
Paper for Seminar/Symposium/Conference
Media
Fusion 2014 - International Conference on Information Fusion (07-10 July 2014, Salamanca, Spain)
Web site
Anno
2014
Cancel
popup-close
Previous
Next
popup-close
popup-close
Close page
Enter Search Text
popup-close
LinkedIn
Twitter
Facebook
This application needs JavaScript to be enabled
2024-10-13T10:52:37Z
cookie_disclaimer:true
page_disclaimer :false