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On the Integration of Topic Modeling and Dictionary Learning

2020-02-27 | |  64 |   39 |   0

Abstract

A new nonparametric Bayesian model is developed to integrate dictionary learning and topic model into a unified framework. The model is employed to analyze partially annotated images, with the dictionary learning performed directly on image patches. Efficient inference is performed with a Gibbsslice sampler, and encouraging results are reported on widely used datasets.

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