Browsing Faculty of Arts and Sciences by Keyword "gaussian process latent va riable model"
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Nonparametric Guidance of Autoencoder Representations using Label Information
(2012)While unsupervised learning has long been useful for density modeling, exploratory data analysis and visualization, it has become increasingly important for discovering features that will later be used for discriminative ...