In the paper Large-Margin Softmax Loss for Convolutional Neural Networks the author has a figure as below:
He is claiming that he is using only 2d features to classify MNIST with a CNN. How is he doing that? Is he reducing the dimension of MNIST images to 2 and how? How do you visualize such figures in 2D if the classification is for 10 classes?