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Race and statistics in facial recognition: Producing types, physical attributes, and genealogies
Principal component analysis (PCA) is a common statistical procedure. In forensics, it is used in facial recognition technologies and composite sketching systems. PCA is especially helpful in contexts with high facial diversity, which is often translated as racial diversity. In these settings, resea...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696907/ https://www.ncbi.nlm.nih.gov/pubmed/36301181 http://dx.doi.org/10.1177/03063127221127666 |