2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI) 2016
DOI: 10.1109/cbmi.2016.7500241
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Indexing Ensembles of Exemplar-SVMs with rejecting taxonomies

Abstract: Abstract-Ensembles of Exemplar-SVMs have been used for a wide variety of tasks, such as object detection, segmentation, label transfer and mid-level feature learning. In order to make this technique effective though a large collection of classifiers is needed, which often makes the evaluation phase prohibitive. To overcome this issue we exploit the joint distribution of exemplar classifier scores to build a taxonomy capable of indexing each Exemplar-SVM and enabling a fast evaluation of the whole ensemble. We … Show more

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