In this paper, we introduce a new representation specifically aimed at matching motion trajectories. We model a trajectory as a continuous dense flow field from a sparse set of vector sequences using ...

We provide a new unifying view, including all existing proper probabilistic sparse approximations for Gaussian process regression. Our approach relies on expressing the effective prior which the ...

Real-time optimal path planning and wind estimation using Gaussian process regression for precision airdrop Citation: S. Yang, Wei, N. , Jeon, S. , Bencatel, R. , and Girard, A. , “Real-time optimal ...