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» Nearest Neighbor Queries in Metric Spaces
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EDBT
2006
ACM
154views Database» more  EDBT 2006»
13 years 11 months ago
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search
Utilizing spatial index structures on secondary memory for nearest neighbor search in high-dimensional data spaces has been the subject of much research. With the potential to host...
Christoph Brochhaus, Marc Wichterich, Thomas Seidl
SSDBM
2009
IEEE
149views Database» more  SSDBM 2009»
14 years 2 months ago
Reverse k-Nearest Neighbor Search Based on Aggregate Point Access Methods
Abstract. We propose an original solution for the general reverse k-nearest neighbor (RkNN) search problem in Euclidean spaces. Compared to the limitations of existing methods for ...
Hans-Peter Kriegel, Peer Kröger, Matthias Ren...
PVLDB
2010
179views more  PVLDB 2010»
13 years 6 months ago
Nearest Neighbor Search with Strong Location Privacy
The tremendous growth of the Internet has significantly reduced the cost of obtaining and sharing information about individuals, raising many concerns about user privacy. Spatial...
Stavros Papadopoulos, Spiridon Bakiras, Dimitris P...
ICML
2008
IEEE
14 years 8 months ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul
PVLDB
2010
152views more  PVLDB 2010»
13 years 6 months ago
k-Nearest Neighbors in Uncertain Graphs
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...