May 27, 2023 · The DiSAT aims to improve the performance of the original algorithm by selecting distal nodes instead of proximal ones. This approach increases ...
The spatial approximation tree (sa--tree) has been experimentally shown to provide a good tradeoff between construction cost, search cost, and space requirement ...
Abstract. Querying large datasets by proximity, using a distance under the met- ric space model, has a large number of applications in multimedia, ...
Dynamic spatial approximation trees. Abstract: The spatial approximation tree (sa-tree) is a recently proposed data structure for searching in metric spaces.
Missing: Distal | Show results with:Distal
Request PDF | Dynamic Distal Spatial Approximation Trees | Metric space indexes are critical for efficient similarity searches across various applications.
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It is shown that it is viable to modify the sa-tree so as to permit fast insertions while keeping its good search efficiency, and specifically developed ...
Missing: Distal | Show results with:Distal
Dynamic spatial approximation trees (dsa–trees) are efficient data structures for searching metric spaces. However, using enough stor- age, pivoting schemes ...
Missing: Distal | Show results with:Distal
The Distal Spatial Approximation Tree (DiSAT) has demonstrated exceptional speed/memory trade-offs without requiring parameter tuning. However, since it ...
In this paper we introduce a secondary-memory variant of the dynamic spatial approximation tree, which has shown to be competitive in main memory. The resulting ...
Missing: Distal | Show results with:Distal
Dynamic spatial approximation trees (dsa–trees) are efficient data structures for searching metric spaces. However, using enough storage, pivoting schemes ...