@INPROCEEDINGS{8486501, 
author={X. {Gao} and H. {Xiong}}, 
booktitle={2018 IEEE International Conference on Multimedia and Expo (ICME)}, 
title={Unsupervised Representation Learning with Prior-Free and Adversarial Mechanism Embedded Autoencoders}, 
year={2018}, 
volume={}, 
number={}, 
pages={1-6}, 
keywords={image classification;image reconstruction;image representation;neural nets;unsupervised learning;adversarial mechanism embedded autoencoders;state-of-the-art methods;novel unsupervised approach;visual representation;image-wise discrimination criterion;pixel-wise reconstruction criterion;neural network training;local features;high-level representations;supervised representation learning methods;competition mechanism;reconstructed images;unsupervised representation learning;Image reconstruction;Decoding;Task analysis;Feature extraction;Gallium nitride;Training;Visualization;Unsupervised representation learning;adversarial learning;autoencoders}, 
doi={10.1109/ICME.2018.8486501}, 
ISSN={1945-788X}, 
month={July},}