Titlebook: Similarity Search and Applications; 8th International Co Giuseppe Amato,Richard Connor,Claudio Gennaro Conference proceedings 2015 Springer

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Approximate Furthest Neighbor in High Dimensionses. We present a simple, fast, and highly practical data structure for answering AFN queries in high-dimensional Euclidean space. We build on the technique of Indyk (SODA 2003), storing random projections to provide sublinear query time for AFN. However, we introduce a different query algorithm, imp

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Flexible Aggregate Similarity Search in High-Dimensional Data Setscient and effective aggregate similarity search, also known as aggregate nearest neighbor (AggNN) search. Given a group of query objects ., the goal of AggNN is to retrieve the . most similar objects from the database, where the underlying similarity measure is defined as an aggregation (usually .,

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Similarity Joins and Beyond: An Extended Set of Binary Operators with Orderhe similar elements, similarity joins also require sorting during the retrieval process, although order is a concept not supported in the relational model. This paper proposes a solution to solve those two issues extending the similarity join concept to a broader set of binary operators, which aims

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CDA: Succinct Spaghettirelevant candidates. Every pivot serves as a reference for all, or a proper subset of, the objects in the database.Each pivot filters its share of the database and the candidate list for a query is the intersection of all the partial lists.The . data structure is a mechanism to compute the above int

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Optimizing the Distance Computation Order of Multi-Feature Similarity Search Indexingl indexing approaches aim to achieve efficiency by incrementally reducing the approximation error of aggregated distance bounds. They apply heuristics to determine the distance computations order and update the object’s aggregated bounds after each computation. However, the existing indexing approac

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Finding Near Neighbors Through Local Searchby traversing a graph with a greedy algorithm. This formulation can be traced back to early formulations defined for vector spaces, and other recent approaches defined for the more general setup of metric spaces..In this paper we introduce three searching algorithms generalizing to local search othe