The sweeping directives, which senior White House officials dubbed “total and complete reform,” will force the 50-year-old ...

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National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen 518060, P. R. China Big Data Institute, College of Computer Science and Software Engineering, ...

Abstract: Machine learning algorithms alleviate overfitting through data augmentation. However, current methods such as Generative Adversarial Networks for data augmentation suffer from issues such as ...

Most methods tend to uniformly augment all classes in small-sample datasets, which wastes computing resources and the classification performance is not always good. To achieve the purposive data ...

3. The performance of the proposed method is verified using experimental data Santos-Domínguez et al. (2016). First, data augmentation is carried out and the generated sample is mixed with the ...

Figure 3. Structural diagram of deep neural network (DNN). In addition, we propose a sample data augmentation strategy that, according to each type of emotion training their own data augmentation ...