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IEEE Transactions on Pattern Analysis and Machine Intelligence· 2013Q1· Review

Representation Learning: A Review and New Perspectives

Yoshua Bengio, Aaron Courville, P. M. Durai Raj Vincent

Short summary

This review posits that machine learning success hinges on data representation, hypothesizing that better representations disentangle explanatory factors of variation, and surveys unsupervised feature learning and deep learning advances.

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Field: Computer Vision and Pattern Recognition

Computer Vision and Pattern RecognitionComputer Science