@ARTICLE{7434593, 
author={B. Du and W. Xiong and J. Wu and L. Zhang and L. Zhang and D. Tao}, 
journal={IEEE Transactions on Cybernetics}, 
title={Stacked Convolutional Denoising Auto-Encoders for Feature Representation}, 
year={2017}, 
volume={47}, 
number={4}, 
pages={1017-1027}, 
keywords={data visualisation;image classification;learning (artificial intelligence);self-organising feature maps;classification performance;convolutional layer;convolutional neural network;hierarchical representations;high dimensional feature maps;high-level feature representations;label information;layer-wise training;layer-wise whitening technique;learning representation;robust feature detectors;stacked convolutional denoising auto-encoders;supervised deep models;support vector machine classifier;unsupervised deep network;unsupervised networks;visual data;whitening layer;Convolution;Convolutional codes;Data models;Noise reduction;Robustness;Training;Visualization;Convolution;deep learning;denoising auto-encoders;unsupervised learning}, 
doi={10.1109/TCYB.2016.2536638}, 
ISSN={2168-2267}, 
month={April},}