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Lecture Notes in Computer Science
The semantic contextual information is shown to be an important resource for improving the scene and image recognition, but is seldom explored in the literature of previous distance metric learning (DML) for images. In this work, we present a novel Contextual Metric Learning (CML) method for learning a set of contextual distance metrics for real world multi-label images. The relationships between classes are formulated as contextual constraints for the optimization framework to leverage thedoi:10.1007/978-3-642-15702-8_12 fatcat:72iivm6sp5ctvksavecv6ckhsu