This article presents a new method to sample on manifolds, based the Dirichlet distribution. The proposed strategy allows completely respect underlying manifold around which data are observed, and do massive sampling with low computational effort. can be very helpful, for instance, in neural networks training process, as well uncertainty analysis stochastic optimization. Due its simplicity effi...
