A Convex Model for Support Vector Distance Metric Learning.

Distance metric learning (DML) aims to learn a distance metric to process the data distribution. However, most of the existing methods are k NN DML methods and employ the k NN model to classify the test instances. The drawback of k NN DML is that all training instances need to be accessed and stored to classify the test instances, and the classification performance is influenced by the setting of the nearest neighbor number k .