Active Semi-Supervised Learning Using Sampling Theory for Graph Signals

Akshay Gadde, Aamir Anis, Antonio Ortega

We consider the problem of offline, pool-based active semi-supervised learning on graphs. This problem is important when the labeled data is scarce and expensive whereas unlabeled…