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The diversity rank-score function for combining human visual perception systems
There are many situations in which a joint decision, based on the observations or decisions of multiple individuals, is desired. The challenge is determining when a combined decision is better than each of the individual systems, along with choosing the best way to perform the combination. It has be...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883166/ https://www.ncbi.nlm.nih.gov/pubmed/27747600 http://dx.doi.org/10.1007/s40708-016-0037-3 |
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author | Schweikert, Christina Mulia, Darius Sanchez, Kilby Hsu, D. Frank |
author_facet | Schweikert, Christina Mulia, Darius Sanchez, Kilby Hsu, D. Frank |
author_sort | Schweikert, Christina |
collection | PubMed |
description | There are many situations in which a joint decision, based on the observations or decisions of multiple individuals, is desired. The challenge is determining when a combined decision is better than each of the individual systems, along with choosing the best way to perform the combination. It has been shown that the diversity between systems plays a role in the performance of their fusion. This study involved several pairs of people, each viewing an event and reporting an observation, along with their confidence level. Each observer is treated as a visual perception system, and hence an associated scoring system is created based on the observer’s confidence. A diversity rank-score function on a set of observation pairs is calculated using the notion of cognitive diversity between two scoring systems in the combinatorial fusion analysis framework. The resulting diversity rank-score function graph provides a powerful visualization tool for the diversity variation among a set of system pairs, helping to identify which system pairs are most likely to show improved performance with combination. |
format | Online Article Text |
id | pubmed-4883166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-48831662016-08-19 The diversity rank-score function for combining human visual perception systems Schweikert, Christina Mulia, Darius Sanchez, Kilby Hsu, D. Frank Brain Inform Article There are many situations in which a joint decision, based on the observations or decisions of multiple individuals, is desired. The challenge is determining when a combined decision is better than each of the individual systems, along with choosing the best way to perform the combination. It has been shown that the diversity between systems plays a role in the performance of their fusion. This study involved several pairs of people, each viewing an event and reporting an observation, along with their confidence level. Each observer is treated as a visual perception system, and hence an associated scoring system is created based on the observer’s confidence. A diversity rank-score function on a set of observation pairs is calculated using the notion of cognitive diversity between two scoring systems in the combinatorial fusion analysis framework. The resulting diversity rank-score function graph provides a powerful visualization tool for the diversity variation among a set of system pairs, helping to identify which system pairs are most likely to show improved performance with combination. Springer Berlin Heidelberg 2016-02-15 /pmc/articles/PMC4883166/ /pubmed/27747600 http://dx.doi.org/10.1007/s40708-016-0037-3 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Schweikert, Christina Mulia, Darius Sanchez, Kilby Hsu, D. Frank The diversity rank-score function for combining human visual perception systems |
title | The diversity rank-score function for combining human visual perception systems |
title_full | The diversity rank-score function for combining human visual perception systems |
title_fullStr | The diversity rank-score function for combining human visual perception systems |
title_full_unstemmed | The diversity rank-score function for combining human visual perception systems |
title_short | The diversity rank-score function for combining human visual perception systems |
title_sort | diversity rank-score function for combining human visual perception systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883166/ https://www.ncbi.nlm.nih.gov/pubmed/27747600 http://dx.doi.org/10.1007/s40708-016-0037-3 |
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