For hyperspectral image classification, we present a novel graph based semi-supervised classification method that learns from similarity and dissimilarity on labeled and unlabeled data, which contain ...

This paper presents a novel approach that allows training convolutional neural networks for retinal vessel segmentation without manually annotated labels. In order to learn how to segment the retinal ...