232 citations · 941 across the 60 of their papers we have counts for
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stat.ML2014
Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies
David M. Johnson, Caiming Xiong, Jason J. Corso
Metric learning is a key problem for many data mining and machine learning applications, and has long been dominated by Mahalanobis methods. Recent advances in nonlinear metric lea…
stat.ML2012★ 22 cited
Random Forests for Metric Learning with Implicit Pairwise Position Dependence
Caiming Xiong, David Johnson, Ran Xu +1
Metric learning makes it plausible to learn distances for complex distributions of data from labeled data. However, to date, most metric learning methods are based on a single Maha…