Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasets.
Matthew GwilliamSrinidhi HegdeLade TinubuAlex HansonPublished in: CoRR (2021)
Keyphrases
- face recognition
- united states
- data sets
- benchmark datasets
- sparse representation
- discriminant analysis
- experimental results on real world
- multi class
- linear discriminant analysis
- recognition accuracy
- local binary pattern
- uci machine learning repository
- principal component analysis
- face recognition systems
- variance reduction
- method for face recognition