Latent Variable Modelling with Gaussian Processes


at Workshop on Probabilistic formulation of the inverse problem and application to image reconstruction, Neuroscience Research Institute, University of Manchester, U.K. on Sep 13, 2007 [pdf]
Neil D. Lawrence, University of Manchester



In this talk we will briefly describe the Gaussian process latent variable model, an approach to probabilistic modelling of data through non-linear dimensional reduction. The model takes a dual approach to statistical inference and can be shown to generalise PCA. We will briefly introduce the model and quickly show some example applications.