Probabilistic Principal Curves on Riemannian Manifolds.

Kang, Seungwoo; Oh, Hee-Seok · IEEE Trans Pattern Anal Mach Intell · 2024

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Abstract

This paper studies a new curve-fitting approach to data on Riemannian manifolds. We define a principal curve based on a mixture model for observations and unobserved latent variables and propose a new algorithm to estimate the principal curve for given data points on Riemannian manifolds.