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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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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 |