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R-tree

Known as: R Tree, R Trees, Rtree 
R-trees are tree data structures used for spatial access methods, i.e., for indexing multi-dimensional information such as geographical coordinates… 
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Related topics

Related topics

44 relations
B+ treeB-treeBounding volumeBounding volume hierarchy

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Scalable nearest neighbor query processing based on Inverted Grid Index
2011
2011
Multi-attribute optimization in service selection
As multiple service providers may compete to offer the same functionality with different quality of service (e.g., latency, fee… 
2008
2008
KNN Based Outlier Detection Algorithm in Large Dataset
An outlier is the object which is very different from the rest of the dataset on some measure. Finding such exception has… 
2008
2008
Efficient Maintenance of Continuous Queries for Trajectories
We address the problem of optimizing the maintenance of continuous queries in Moving Objects Databases, when a set of pending… 
2007
2007
Efficient reverse k-nearest neighbor estimation
AbstractThe reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which… 
2007
2007
A fuzzy decision tree-based duration model for Standard Yorùbá text-to-speech synthesis
2007
2007
A hyperplane based indexing technique for high-dimensional data
2004
2004
Adaptive cell-based index for moving objects
2003
2003
Cell Histograms Versus Color Histograms for Image Representation and Retrieval
Abstract.This paper presents a new approach for content-based image retrieval, which is based on the well-known and widely used… 
1996
1996
k-RP*s: a scalable distributed data structure for high-performance multi-attribute access
k-RP*s is a new data structure for scalable multicomputer files with multi-attribute (k-d) keys. We discuss the k-RP*s file… 
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