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Dynamic spatial approximation trees (dsa{trees for short) have shown to be suitable data structures for searching in high dimensional metric spaces.
Abstract. Dynamic spatial approximation trees (dsa–trees) are efficient data structures for searching metric spaces. However, using enough stor-.
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Dynamic spatial approximation trees (dsa–trees) are efficient data structures for searching metric spaces. However, using enough storage, pivoting schemes ...
Feb 28, 2024 · Bibliographic details on Memory-Adaptive Dynamic Spatial Approximation Trees.
Memory-Adaptive Dynamic Spatial Approximation Trees ; String Processing and Information Retrieval, 10th International Symposium, SPIRE 2003, Manaus, Brazil, ...
Abstra t. Dynami spatial approximation trees (dsa{trees) are eÆ ient data stru tures for sear hing metri spa es. However, using enough stor-.
Dynamic spatial approximation trees (dsa–trees) are efficient data structures for searching metric spaces. However, using enough storage, pivoting schemes ...
The spatial approximation tree (sa--tree) has been experimentally shown to provide a good tradeoff between construction cost, search cost, and space requirement ...
The Spatial Approximation Tree (SAT) is a data structure devised to support efficient searching in high-dimensional metric spaces [6] [7] . It has been compared ...
Abstract. We present the first spatially adaptive data structure that answers approximate nearest neighbor (ANN) queries.