Adaptive Metrics for Content Based Image Retrieval in Dermatology

We apply distance based classifiers in the context of a content based image retrieval task in dermatology. In the present project, only RGB color information is used. We employ two different methods in order to obtain a discriminative distance measure for classification and retrieval: Generalized Matrix LVQ and Large Margin Nearest Neighbor approach. Both methods provide a linear transformation of the original features to lower dimensions. We demonstrate that both methods lead to very similar discriminative transformations and improve the classification and retrieval performances significantly.

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