To speed up the optimization process, we transform the corresponding problem into a lower-dimensional latent space learned by a variational autoencoder. This is trained on a total of 6839 different 2D ...

In machine learning, data augmentation is called the process of generating synthetic samples in order to augment sparse training datasets. Reducing the error-rate of classifiers is the main motivation ...