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» High dimensional reverse nearest neighbor queries
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EDBT
2009
ACM
92views Database» more  EDBT 2009»
15 years 1 months ago
Efficient skyline computation in metric space
Given a set of n query points in a general metric space, a metricspace skyline (MSS) query asks what are the closest points to all these query points in the database. Here, consid...
David Fuhry, Ruoming Jin, Donghui Zhang
ICDE
2002
IEEE
143views Database» more  ICDE 2002»
15 years 11 months ago
Discovering Similar Multidimensional Trajectories
We investigate techniques for analysis and retrieval of object trajectories in a two or three dimensional space. Such kind of data usually contain a great amount of noise, that ma...
Michail Vlachos, Dimitrios Gunopulos, George Kolli...
ICML
2004
IEEE
15 years 3 months ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
ICDE
2008
IEEE
182views Database» more  ICDE 2008»
15 years 11 months ago
SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services
In a mobile service scenario, users query a server for nearby points of interest but they may not want to disclose their locations to the service. Intuitively, location privacy may...
Man Lung Yiu, Christian S. Jensen, Xuegang Huang, ...
COMPGEOM
2005
ACM
14 years 11 months ago
The skip quadtree: a simple dynamic data structure for multidimensional data
We present a new multi-dimensional data structure, which we call the skip quadtree (for point data in R2) or the skip octree (for point data in Rd, with constant d > 2). Our da...
David Eppstein, Michael T. Goodrich, Jonathan Z. S...