Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations

1 code implementation • NeurIPS 2019 • Yifeng Fan, Tingran Gao, Zhizhen Jane Zhao

We introduce a novel co-learning paradigm for manifolds naturally admitting an action of a transformation group $\mathcal{G}$, motivated by recent developments on learning a manifold from attached fibre bundle structures.

Clustering Community Detection