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Titlebook: Similarity Search and Applications; 5th International Co Gonzalo Navarro,Vladimir Pestov Conference proceedings 2012 Springer-Verlag Berlin

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Efficient Similarity Search in Metric Spaces with Cluster Reductionto this approach as .. We present the algorithms for range and .NN search. The results obtained in an experimental evaluation with synthetic and real collections show that the search cost can be reduced by a 13% - 25% approximately with respect to existing methods.
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Parallel Approaches to Permutation-Based Indexing Using Inverted Files We study performance, efficiency, and effectiveness of our strategies on high dimensional datasets of millions of images. Experimental results show a good performance compared to the sequential version with the same efficiency and effectiveness.
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Future Trends in Similarity Searchinglexity of data objects grows, it is more and more difficult to reason about digital objects otherwise than through the similarity. In this article, we first discuss concepts of similarity and searching in light of future perspectives before a concise history of similarity searching technology is pre
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Snake Table: A Dynamic Pivot Table for Streams of k-NN Searchese index is created and updated in the online phase while resolving the queries, thus it does not need a preprocessing step. This index is intended to be used when the stream of query objects fits a snake distribution, that is, when the distance between two consecutive query objects is small. In part
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Polyphasic Metric Index: Reaching the Practical Limits of Proximity Searchingutperform the pivot based approach; but are unable to increase the memory usage to boost the query time. In this paper we propose a new metric indexing technique with an algorithmic mechanism to lift the performance of otherwise rigid metric indexes..We selected the well known List of Clusters (LC)
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