1. On deep generative models with applications to recognition;Ranzato,2011
2. A Fast Learning Algorithm for Deep Belief Nets
3. Extracting deep bottleneck features using stacked autoencoders;Gehring,2013
4. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion;Vincent;The Journal of Machine Learning Research,2010
5. Gradient-based learning applied to document recognition;LeCun,1998