On Procrustes Analysis in Hyperbolic Space
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Abstract (arXiv)
Congruent Procrustes analysis aims to find the best matching between two point sets through rotation, reflection and translation. We formulate the Procrustes problem for hyperbolic spaces, review the canonical definition of the center of point sets, and give a closed form solution for the optimal isometry for noise-free measurements. We also analyze the performance of the proposed method under measurement noise.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Feb 2021.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 2.
5 papers.
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- 2023Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hullscited by 0
- 2024Structured Pruning for Efficient Visual Place Recognition12 Sep 2024
- 2024Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization14 May 2024
- 2023Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls14 Aug 2023
- 2022Small Transformers Compute Universal Metric Embeddings14 Sep 2022
- 2022Ultrahyperbolic Knowledge Graph Embeddings1 Jun 2022