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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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書目詳細資料
發表在:J Forensic Sci
Main Authors: Macarulla Rodriguez, Andrea, Geradts, Zeno, Worring, Marcel
格式: Artigo
語言:Inglês
出版: John Wiley and Sons Inc. 2020
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7383913/
https://ncbi.nlm.nih.gov/pubmed/32396227
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/1556-4029.14324
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