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Error Rates in Users of Automatic Face Recognition Software
In recent years, wide deployment of automatic face recognition systems has been accompanied by substantial gains in algorithm performance. However, benchmarking tests designed to evaluate these systems do not account for the errors of human operators, who are often an integral part of face recogniti...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605725/ https://www.ncbi.nlm.nih.gov/pubmed/26465631 http://dx.doi.org/10.1371/journal.pone.0139827 |