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Correlational Neural Networks.

Neural Computation, no. 2 (2016): 257-285

Cited: 148|Views81
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Abstract

Common representation learning (CRL), wherein different descriptions (or views) of the data are embedded in a common subspace, has been receiving a lot of attention recently. Two popular paradigms here are canonical correlation analysis (CCA)-based approaches and autoencoder (AE)-based approaches. CCA-based approaches learn a joint repres...More

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