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ICPR
2002
IEEE
14 years 5 months ago
Metric-Based Shape Retrieval in Large Databases
This paper examines the problem of database organization and retrieval based on computing metric pairwise distances. A low-dimensional Euclidean approximation of a high-dimensiona...
Thomas B. Sebastian, Benjamin B. Kimia
STOC
2006
ACM
138views Algorithms» more  STOC 2006»
14 years 5 months ago
Searching dynamic point sets in spaces with bounded doubling dimension
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...
Richard Cole, Lee-Ad Gottlieb
ICDE
2000
IEEE
168views Database» more  ICDE 2000»
14 years 6 months ago
PAC Nearest Neighbor Queries: Approximate and Controlled Search in High-Dimensional and Metric Spaces
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
Paolo Ciaccia, Marco Patella
ICDE
2001
IEEE
201views Database» more  ICDE 2001»
14 years 6 months ago
Approximate Nearest Neighbor Searching in Multimedia Databases
In this paper, we develop a general framework for approximate nearest neighbor queries. We categorize the current approaches for nearest neighbor query processing based on either ...
Hakan Ferhatosmanoglu, Ertem Tuncel, Divyakant Agr...
SPIRE
2005
Springer
13 years 10 months 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