16 citations · 35 across the 13 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
stat.ML2020★ 2 cited
Rehabilitating Isomap: Euclidean Representation of Geodesic Structure
Michael W. Trosset, Gokcen Buyukbas
Manifold learning techniques for nonlinear dimension reduction assume that high-dimensional feature vectors lie on a low-dimensional manifold, then attempt to exploit manifold stru…
stat.ML2020★ 2 cited
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs
Michael W. Trosset, Mingyue Gao, Minh Tang +1
A random dot product graph (RDPG) is a generative model for networks in which vertices correspond to positions in a latent Euclidean space and edge probabilities are determined by…