2 papers
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
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…