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» Near Neighbor Search in Large Metric Spaces
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JPDC
2007
138views more  JPDC 2007»
13 years 11 months ago
Distributed computation of the knn graph for large high-dimensional point sets
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
Erion Plaku, Lydia E. Kavraki
STOC
1998
ACM
190views Algorithms» more  STOC 1998»
14 years 3 months ago
Efficient Search for Approximate Nearest Neighbor in High Dimensional Spaces
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...
Eyal Kushilevitz, Rafail Ostrovsky, Yuval Rabani
CIKM
2006
Springer
14 years 2 months ago
Approximate reverse k-nearest neighbor queries in general metric spaces
In this paper, we propose an approach for efficient approximative RkNN search in arbitrary metric spaces where the value of k is specified at query time. Our method uses an approx...
Elke Achtert, Christian Böhm, Peer Kröge...
ICPR
2000
IEEE
15 years 4 days ago
Winner-Update Algorithm for Nearest Neighbor Search
This paper presents an algorithm, called the winnerupdate algorithm, for accelerating the nearest neighbor search. By constructing a hierarchical structure ,for each feature point...
Yong-Sheng Chen, Yi-Ping Hung, Chiou-Shann Fuh
ISMIR
2005
Springer
154views Music» more  ISMIR 2005»
14 years 4 months ago
Exploiting the Tradeoff Between Precision and Cpu-Time to Speed Up Nearest Neighbor Search
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
Pierre Roy, Jean-Julien Aucouturier, Franço...