Author

Robert L. Paige

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Open access Jul 2026

Infimum Dimension Nash Embeddings for 2D Projective Shape Analysis

This work determines the minimum dimension isometric (distance-preserving or Nash) vector embedding for a projective space and determines an embedding for the Cartesian product of projective planes which is used to develop a novel extrinsic mean test as well as a novel homogeneity test for 2D projective shape analysis.

Robert L. Paige, Vic Patrangenaru · Annals of Data Science · 0 citations