Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes

NeurIPS 2016 Hassan A. KingraviHarshal R. MaskeGirish Chowdhary

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 not necessarily require the design of complex nonstationary kernels... (read more)

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