Variational Gaussian-process factor analysis for modeling spatio-temporal data

NeurIPS 2009 Jaakko LuttinenAlexander Ilin

We present a probabilistic latent factor model which can be used for studying spatio-temporal datasets. The spatial and temporal structure is modeled by using Gaussian process priors both for the loading matrix and the factors... (read more)

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