Since the posterior distribution of the latent variables given the observed data is intractable, approximate inference methods are used. Two primary approaches are Gibbs Sampling and Variational ...

Abstract: We have subjected several sets of real and simplified model proteins to Delaunay tessellation and have computed statistics on both Delaunay simplex geometry and the tendency of quadruplets ...

Abstract: In this paper, a nonparametric histogram-based fisher information embedding method is presented for clustering and visualizing data sets with non-Euclidean geometric structures. It is on the ...