Reconstruction of Hidden Representation for Robust Feature Extraction

8 Oct 2017Zeng YuTianrui LiNing YuYi PanHongmei ChenBing Liu

This paper aims to develop a new and robust approach to feature representation. Motivated by the success of Auto-Encoders, we first theoretical summarize the general properties of all algorithms that are based on traditional Auto-Encoders: 1) The reconstruction error of the input can not be lower than a lower bound, which can be viewed as a guiding principle for reconstructing the input... (read more)

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