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» Nearest neighbor search through function minimization
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CORR
1999
Springer
222views Education» more  CORR 1999»
13 years 7 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
IBPRIA
2007
Springer
14 years 1 months ago
A Tabular Pruning Rule in Tree-Based Fast Nearest Neighbor Search Algorithms
Some fast nearest neighbor search (NNS) algorithms using metric properties have appeared in the last years for reducing computational cost. Depending on the structure used to store...
José Oncina, Franck Thollard, Eva Gó...
EDBT
2006
ACM
154views Database» more  EDBT 2006»
13 years 11 months ago
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search
Utilizing spatial index structures on secondary memory for nearest neighbor search in high-dimensional data spaces has been the subject of much research. With the potential to host...
Christoph Brochhaus, Marc Wichterich, Thomas Seidl
TKDE
2010
185views more  TKDE 2010»
13 years 5 months ago
Superseding Nearest Neighbor Search on Uncertain Spatial Databases
This paper proposes a new problem, called superseding nearest neighbor search, on uncertain spatial databases, where each object is described by a multidimensional probability den...
Sze Man Yuen, Yufei Tao, Xiaokui Xiao, Jian Pei, D...
SPIRE
2005
Springer
14 years 27 days ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez