Hypergraph

Do you want to know more about achieving high accuracy results when only small labeled sets are available? Check our paper “Weakly Supervised Learning based on Hypergraph Manifold Ranking”, just published in the Journal of Visual Communication and Image Representation.

In this work, we propose a weakly supervised approach for classification scenarios where only small labeled sets are available. It exploits hypergraph structures based on ranking information to identify and select reliable similarity relations between pairs of labeled-unlabeled data.