ICML 2010 Tutorial on Metric LearningICML 2010 Tutorial on Metric Learning Presenter: Brian Kulis University of California at Berkeley Topic Overview Metric learning aims to learn an appropriate distance/similarity function for a given problem. Because many learning problems involve some notion of distance or similarity, metric learning can be applied in a variety of settings and has become a popular problem for many learning task
