SLMOML: Online Metric Learning With Global Convergence.

Metric and similarity learning are important approaches to classification and retrieval. To efficiently learn a distance metric or a similarity function, online learning algorithms have been widely applied. In general, however, existing online metric and similarity learning algorithms have limited performance in real-world classification and retrieval applications. In this paper, we introduce a co...