Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder

11 Mar 2015Xi ZhangYanwei FuAndi ZangLeonid SigalGady Agam

We propose a method for using synthetic data to help learning classifiers. Synthetic data, even is generated based on real data, normally results in a shift from the distribution of real data in feature space... (read more)

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