2016
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
NeurIPS 2016poster
We consider the problem of estimating the latent state of a spatiotemporally evolving continuous function using very few sensor measurements. We show that layering a dynamical systems prior over temporal evolution of weights of a kernel model is a valid approach to spatiotemporal modeling that does…