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The indexing of complex data and similarity search plays an important role in many application areas. Traditional centralized index structure can not scale with the rapid proliferation of data volume. In this paper, we propose a scalable index architecture built on top of distributed hash tables (DHT), to support similarity search in the general metric space. Based on efficient space mapping and query...
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