8 citations · 11 across the 3 of their papers we have counts for
4 papers
A Finite-Horizon Approach to Active Level Set Estimation
Phillip Kearns, Bruno Jedynak, John Lipor
We consider the problem of active learning in the context of spatial sampling for level set estimation (LSE), where the goal is to localize all regions where a function of interest…
Subspace Clustering using Ensembles of -Subspaces
John Lipor, David Hong, Yan Shuo Tan +1
Subspace clustering is the unsupervised grouping of points lying near a union of low-dimensional linear subspaces. Algorithms based directly on geometric properties of such data te…
Leveraging Union of Subspace Structure to Improve Constrained Clustering
John Lipor, Laura Balzano
Many clustering problems in computer vision and other contexts are also classification problems, where each cluster shares a meaningful label. Subspace clustering algorithms in par…
Distance-Penalized Active Learning Using Quantile Search
John Lipor, Brandon Wong, Donald Scavia +2
Adaptive sampling theory has shown that, with proper assumptions on the signal class, algorithms exist to reconstruct a signal in with an optimal number of samples…