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CVPR
2012
IEEE
11 years 10 months ago
The inverted multi-index
A new data structure for efficient similarity search in very large datasets of high-dimensional vectors is introduced. This structure called the inverted multi-index generalizes ...
Artem Babenko, Victor S. Lempitsky
VLDB
2004
ACM
125views Database» more  VLDB 2004»
14 years 28 days ago
Reverse kNN Search in Arbitrary Dimensionality
Given a point q, a reverse k nearest neighbor (RkNN) query retrieves all the data points that have q as one of their k nearest neighbors. Existing methods for processing such quer...
Yufei Tao, Dimitris Papadias, Xiang Lian
PVLDB
2008
154views more  PVLDB 2008»
13 years 7 months ago
Indexing land surface for efficient kNN query
The class of k Nearest Neighbor (kNN) queries is frequently used in geospatial applications. Many studies focus on processing kNN in Euclidean and road network spaces. Meanwhile, ...
Cyrus Shahabi, Lu-An Tang, Songhua Xing
TKDE
2011
332views more  TKDE 2011»
13 years 2 months ago
Adaptive Cluster Distance Bounding for High-Dimensional Indexing
—We consider approaches for similarity search in correlated, high-dimensional data-sets, which are derived within a clustering framework. We note that indexing by “vector appro...
Sharadh Ramaswamy, Kenneth Rose
SIGMOD
2002
ACM
114views Database» more  SIGMOD 2002»
14 years 7 months ago
Time-parameterized queries in spatio-temporal databases
Time-parameterized queries (TP queries for short) retrieve (i) the actual result at the time that the query is issued, (ii) the validity period of the result given the current mot...
Yufei Tao, Dimitris Papadias