Computer Vision Reading Group: The Gaussian Process Latent Variable Model


at Computer Vision Reading Group, Visual Geometry Group, Department of Engineering Science, University of Oxford, U.K. on Jan 27, 2006
Neil D. Lawrence, University of Sheffield


The Gaussian process latent variable model (GP-LVM) is a recently proposed probabilistic approach to obtaining a reduced dimension representation of a data set. In this tutorial we motivate and describe the GP-LVM, giving a review of the model itself and some of the concepts behind it.