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From Patches to Images: A Nonparametric Generative Model

ICML 2017 • Geng Ji • Michael C. Hughes • Erik B. Sudderth

We propose a hierarchical generative model that captures the self-similar structure of image regions as well as how this structure is shared across image collections. Our model is based on a novel, variational interpretation of the popular expected patch log-likelihood (EPLL) method as a model for randomly positioned grids of image patches... (read more)

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