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DAWAK
2005
Springer
14 years 4 months ago
Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data
Abstract. In this paper, we present a new approach to indexing multidimensional data that is particularly suitable for the efficient incremental processing of nearest neighbor quer...
Evangelos Dellis, Bernhard Seeger, Akrivi Vlachou
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
VLDB
2000
ACM
114views Database» more  VLDB 2000»
14 years 2 months ago
The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation
We propose a novel index structure, A-tree (Approximation tree), for similarity search of high-dimensional data. The basic idea of the
Yasushi Sakurai, Masatoshi Yoshikawa, Shunsuke Uem...
ICDE
2007
IEEE
228views Database» more  ICDE 2007»
14 years 5 months ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002
PODS
2001
ACM
190views Database» more  PODS 2001»
14 years 11 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal