Conditional Generative Denoising Autoencoder
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DOI: 10.1109/tnnls.2019.2952203
Abstract: We present a generative denoising autoencoder model that has an embedded data classifier in its architecture in order to take advantage of class-based discriminating features and produce better data samples. The proposed model is a… read more here.
Keywords: conditional generative; model; class; denoising autoencoder ... See more keywords