Minimum distance classification for nonlinear dynamical systems
The episode discusses Dominique Martinez and Dominique Martin's paper, "Minimum distance classification for nonlinear dynamical systems." The paper proposes Dynafit, a kernel-based method that learns a distance metric to compare system trajectories against underlying dynamics. Hosts discuss how this technique uses the Koopman operator theory to linearize nonlinear dynamics for classification.