The Art of Data Augmentation, J. Comput. Graph. Stat, 2012. ,
ImageNet classification with deep convolutional neural networks, Advances in Neural Information Processing Systems (NIPS), 2012. ,
DOI : 10.1162/neco.2009.10-08-881
URL : http://dl.acm.org/ft_gateway.cfm?id=3065386&type=pdf
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks, IEEE Transactions on Geoscience and Remote Sensing, vol.54, issue.10, 2016. ,
DOI : 10.1109/TGRS.2016.2584107
Deep supervised learning for hyperspectral data classification through convolutional neural networks, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015. ,
DOI : 10.1109/IGARSS.2015.7326945
Hyperspectral Image Classification with Convolutional Neural Networks, Proceedings of the 23rd ACM international conference on Multimedia, MM '15, 2015. ,
DOI : 10.1109/TGRS.2005.863297
URL : https://biblio.ugent.be/publication/7034491/file/7034499.pdf
Contextual deep CNN based hyperspectral classification, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016. ,
DOI : 10.1109/IGARSS.2016.7729859
Hyperspectral CNN Classification with Limited Training Samples, p.2016 ,
Cnn and Data Augmentation for Spectral-Spatial Classification of Hyperspectral Images, p.2017 ,
Inverting Variational Autoencoders for Improved Generative Accuracy, NIPS Workshop on Advances in Approximate Bayesian Inference, 2017. ,
Generative Adversarial Nets, Advances in Neural Information Processing Systems (NIPS), 2014. ,
Wasserstein Generative Adversarial Networks, Proceedings of the International Conference on Machine Learning (ICML), 2017. ,
Improved Training of Wasserstein GANs, Advances in Neural Information Processing Systems (NIPS), 2017. ,
Rectifier nonlinearities improve neural network acoustic models, ICML Workshop on Deep Learning for Audio, Speech and Language Processing, 2013. ,
Improved Techniques for Training GANs, Advances in Neural Information Processing Systems (NIPS), 2016. ,