Fig. 2.

Attactor manifold reconstruction results for the synthetic dataset using delay embedding with optimal setting (top), and GP-based method (bottom) along with the importance weight of each dimension in ${\mathcal{M}}_Y^{\text{init}}$ that reveals the dimensionality of ${\mathcal{M}}_Y^{\text{GP}}$ (middle). From left to right, the variance of observation noise is ${\sigma }_e^2=0$, 1, and 9, respectively.