Dominik Lenhard

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Fast similarity search in high dimensional feature spaces is crucial in today's applications. Since the performance of traditional index structures degrades with increasing dimensionality, concepts were developed to cope with this curse of dimensionality. Most of the existing concepts exploit <i>global</i> correlations between dimensions to reduce the(More)
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