Studying bias in visual features through the lens of optimal transport

DOI10.1007/s10618-023-00972-2zbMATH Open1547.68762MaRDI QIDQ6535785

Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi, Simone Fabbrizzi

Publication date: 20 February 2024

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

zbMATH Keywords

computer visionWasserstein distanceoptimal transportdataset explorationfairness and bias

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45) Optimal transportation (49Q22)

Cites Work

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• Analysis of a complex of statistical variables of principal components.
• Support-vector networks
• Wasserstein-based fairness interpretability framework for machine learning models
• Matching code and law: achieving algorithmic fairness with optimal transport
• Fairness through awareness
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Measure and integration

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