Abstract Machine learning methods strive to acquire a robust model during the training
process that can effectively generalize to test samples, even in the presence of distribution …

Fusing a low-resolution hyperspectral image (HSI) with a high-resolution (HR) multi-spectral
image has provided an effective way for HSI super-resolution (SR). The key lies on inferring …

Machine learning algorithms-in particular, those based on convolutional neural networks
(CNNs)-have demonstrated remarkable promise in a number of medical image analysis …