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Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields

15 Feb 2021 • Sunrit Chakraborty • Aritra Guha • Rayleigh Lei • XuanLong Nguyen

Analysis of heterogeneous patterns in complex spatio-temporal data finds usage across various domains in applied science and engineering, including training autonomous vehicles to navigate in complex traffic scenarios. Motivated by applications arising in the transportation domain, in this paper we develop a model for learning heterogeneous and dynamic patterns of velocity field data... (read more)

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METHOD	TYPE
Gaussian Process	Non-Parametric Classification

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