Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies

no code implementations • 23 Feb 2014 • David M. Johnson, Caiming Xiong, Jason J. Corso

By introducing randomness during hierarchy training and combining the output of many of the resulting semi-random weak hierarchy metrics, we can obtain a powerful and robust nonlinear metric model.

Clustering Image Retrieval +2