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PAMI
2008
152views more  PAMI 2008»
13 years 7 months ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet
ICIAP
2003
ACM
14 years 7 months ago
Depth-first k-nearest neighbor finding using the MaxNearestDist estimator
A description is given of how to use an estimate of the maximum possible distance at which a nearest neighbor can be found to prune the search process in a depth-first branch and ...
Hanan Samet
PVLDB
2008
232views more  PVLDB 2008»
13 years 6 months ago
FINCH: evaluating reverse k-Nearest-Neighbor queries on location data
A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as one of their k nearest neighbors. In this paper we propose new solutions for evaluating R...
Wei Wu, Fei Yang, Chee Yong Chan, Kian-Lee Tan
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
14 years 2 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar
BTW
2007
Springer
183views Database» more  BTW 2007»
13 years 11 months ago
Efficient Reverse k-Nearest Neighbor Estimation
: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, has received increasing a...
Elke Achtert, Christian Böhm, Peer Kröge...