38 citations · 125 across the 49 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
stat.ML2018
Co-manifold learning with missing data
Gal Mishne, Eric C. Chi, Ronald R. Coifman
Representation learning is typically applied to only one mode of a data matrix, either its rows or columns. Yet in many applications, there is an underlying geometry to both the ro…
cs.LG2018★ 2 cited
Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian
Xiuyuan Cheng, Gal Mishne
The extraction of clusters from a dataset which includes multiple clusters and a significant background component is a non-trivial task of practical importance. In image analysis t…