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Likelihood Ratios for Deep Neural Networks in Face Comparison

In this study, we aim to compare the performance of systems and forensic facial comparison experts in terms of likelihood ratio computation to assess the potential of the machine to support the human expert in the courtroom. In forensics, transparency in the methods is essential. Consequently, state...

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Detalles Bibliográficos
Autores principales: Macarulla Rodriguez, Andrea, Geradts, Zeno, Worring, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7383913/
https://www.ncbi.nlm.nih.gov/pubmed/32396227
http://dx.doi.org/10.1111/1556-4029.14324