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cs.CG2021
Near-Delaunay Metrics
Nathan van Beusekom, Kevin Buchin, Hidde Koerts +3
We study metrics that assess how close a triangulation is to being a Delaunay triangulation, for use in contexts where a good triangulation is desired but constraints (e.g., maximu…
cs.CG2021★ 1 cited
Obstructing Classification via Projection
Pantea Haghighatkhah, Wouter Meulemans, Bettina Speckman +2
Machine learning and data mining techniques are effective tools to classify large amounts of data. But they tend to preserve any inherent bias in the data, for example, with regard…