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ACIVS
2006
Springer
14 years 2 months ago
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
ICDE
2000
IEEE
168views Database» more  ICDE 2000»
14 years 10 months 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
SPIRE
2005
Springer
14 years 2 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
TKDE
2008
234views more  TKDE 2008»
13 years 8 months ago
Probabilistic Group Nearest Neighbor Queries in Uncertain Databases
The importance of query processing over uncertain data has recently arisen due to its wide usage in many real-world applications. In the context of uncertain databases, previous wo...
Xiang Lian, Lei Chen 0002
GIS
2009
ACM
14 years 3 months ago
Constrained reverse nearest neighbor search on mobile objects
In this paper, we formalize the novel concept of Constrained Reverse k-Nearest Neighbor (CRkNN) search on mobile objects (clients) performed at a central server. The CRkNN query c...
Tobias Emrich, Hans-Peter Kriegel, Peer Kröge...