Curvature-Aware PCA with Geodesic Tangent Space Aggregation for Semi-Supervised Learning
arXiv:2604.18816v1 Announce Type: new
Abstract: Principal Component Analysis (PCA) is a fundamental tool for representation learning, but its global linear formulation fails to capture the structure of data supported on curved manifolds. In contrast, …