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Successive classification with different SVMs.

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posted on 2013-02-20, 04:17 authored by Timm Schoening, Melanie Bergmann, Jörg Ontrup, James Taylor, Jennifer Dannheim, Julian Gutt, Autun Purser, Tim W. Nattkemper

To prevent a time-consuming classification of each feature vector with all SVMs, the SVMs were ordered in a tree structure. The order of SVMs and the confidence thresholds as well as the blob sizes were tuned automatically according to the resulting Sensitivity and Positive Predictive Value.

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