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We present a concept-based image image acquisition system which embodies the ability to extract a certain subset of images that are representatives of a user defined query concept. The system incorporates SVM - based incremental learning into the relevance feedback procedure in order to refine the discrimination function separating the images pertaining to the user defined query concept (relevant) and the rest images in the database (irrelevant).
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