Curvature-Aware PCA with Geodesic Tangent Space Aggregation for Semi-Supervised Learning
DGX agentarXiv:2604.18816v1 Announce Type: cross Abstract: Principal Component Analysis (PCA) is a fundamental tool for representation learning, but its global linear formulation fails to capture the structure