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DEXAW
1999
IEEE
168views Database» more  DEXAW 1999»
14 years 3 months ago
Using the Distance Distribution for Approximate Similarity Queries in High-Dimensional Metric Spaces
We investigate the problem of approximate similarity (nearest neighbor) search in high-dimensional metric spaces, and describe how the distance distribution of the query object ca...
Paolo Ciaccia, Marco Patella
ICDE
2000
IEEE
168views Database» more  ICDE 2000»
15 years 5 days 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
ICPR
2002
IEEE
14 years 12 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
ISM
2006
IEEE
174views Multimedia» more  ISM 2006»
14 years 4 months ago
Fast Similarity Search for High-Dimensional Dataset
This paper addresses the challenging problem of rapidly searching and matching high-dimensional features for the applications of multimedia database retrieval and pattern recognit...
Quan Wang, Suya You