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Win Yuan

1 accepted papers

2016

A Deep Generative Deconvolutional Image Model

AISTATS 2016poster

A deep generative model is developed for representation and analysis of images, based on a hierarchical convolutional dictionary-learning framework. Stochastic unpooling is employed to link consecutive layers in the model, yielding top-down image generation. A Bayesian support vector machine is link…

Cited by 55SourcePDFScholar