1 citations · 1 across the 1 of their papers we have counts for
3 papers
stat.ML2020★ 1 cited
Clustering small datasets in high-dimension by random projection
Alden Bradford, Tarun Yellamraju, Mireille Boutin
Datasets in high-dimension do not typically form clusters in their original space; the issue is worse when the number of points in the dataset is small. We propose a low-computatio…
stat.ML2018
Pattern Dependence Detection using n-TARP Clustering
Tarun Yellamraju, Mireille Boutin
Consider an experiment involving a potentially small number of subjects. Some random variables are observed on each subject: a high-dimensional one called the "observed" random var…
stat.ML2018
Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems
Tarun Yellamraju, Jonas Hepp, Mireille Boutin
A good classification method should yield more accurate results than simple heuristics. But there are classification problems, especially high-dimensional ones like the ones based…