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» Approximate Nearest Neighbor Queries Revisited
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168
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GIS
2005
ACM
15 years 10 months ago
Two ellipse-based pruning methods for group nearest neighbor queries
Group nearest neighbor (GNN) queries are a relatively new type of operations in spatial database applications. Different from a traditional kNN query which specifies a single quer...
Hongga Li, Hua Lu, Bo Huang, Zhiyong Huang
CORR
1999
Springer
222views Education» more  CORR 1999»
14 years 9 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
CCCG
2008
14 years 11 months ago
Achieving Spatial Adaptivity while Finding Approximate Nearest Neighbors
We present the first spatially adaptive data structure that answers approximate nearest neighbor (ANN) queries to points that reside in a geometric space of any constant dimension...
Jonathan Derryberry, Don Sheehy, Maverick Woo, Dan...
75
Voted
FOCS
2006
IEEE
15 years 3 months ago
Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
We present an algorithm for the c-approximate nearest neighbor problem in a d-dimensional Euclidean space, achieving query time of O(dn1/c2 +o(1) ) and space O(dn + n1+1/c2 +o(1) ...
Alexandr Andoni, Piotr Indyk
68
Voted
SSDBM
2010
IEEE
127views Database» more  SSDBM 2010»
15 years 2 months ago
Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning
Many applications require to determine the k-nearest neighbors for multiple query points simultaneously. This task is known as all-(k)-nearest-neighbor (AkNN) query. In this paper,...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...