Kenji Kawano

Local Distance Correlation Embedding for Time-Series Analysis on Riemannian Manifolds

This paper proposes a time-series data embedding technique that preserves curvature and orientation, with a focus on visualizing temporal manifold-valued data. Manifold-valued data provide pair-wise local distances on which the proposed method is built. First, we introduce a simpler form of our meth…