Page
%P
-
Chapter and Conference Paper
Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning
Multi-view learning (MVL) explores the data extracted from multiple resources. It assumes that the complementary information between different views could be revealed to further improve the learning performanc...
-
Chapter and Conference Paper
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Convolutional neural network (CNN) depth is of crucial importance for image super-resolution (SR). However, we observe that deeper networks for image SR are more difficult to train. The low-resolution inputs a...
