Inferring semantics from geometry: the case of street networks

Abstract

This paper proposes a method for automatically inferring semantic type information for a street network from its corresponding geometrical representation. Specifically, a street network is modelled as a probabilistic graphical model and semantic type information is inferred by performing learning and inference with respect to this model. Learning is… (More)
DOI: 10.1145/2820783.2820822

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