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Learning with Hierarchical-Deep Models
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By R. Salakhutdinov,J. B. Tenenbaum,A. Torralba
Issue Date:August 2013
pp. 1958-1971
We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learning models with structured hierarchical Bayesian (HB) models. Specifically, we show how we can learn a hierarchical Dirichlet process (HDP)...