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Chu et al., 2017 - Google Patents

Stacked Similarity-Aware Autoencoders.

Chu et al., 2017

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Document ID
13332657967082330298
Author
Chu W
Cai D
Publication year
Publication venue
IJCAI

External Links

Snippet

As one of the most popular unsupervised learning approaches, the autoencoder aims at transforming the inputs to the outputs with the least discrepancy. The conventional autoencoder and most of its variants only consider the one-to-one reconstruction, which …
Continue reading at www.ijcai.org (PDF) (other versions)

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