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ICIP
2007
IEEE
14 years 4 months ago
Adaptive Cluster-Distance Bounding for Nearest Neighbor Search in Image Databases
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
Sharadh Ramaswamy, Kenneth Rose
EPIA
2001
Springer
14 years 2 months ago
Non-parametric Nearest Neighbor with Local Adaptation
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
SIGMOD
1998
ACM
143views Database» more  SIGMOD 1998»
14 years 2 months ago
Optimal Multi-Step k-Nearest Neighbor Search
For an increasing number of modern database applications, efficient support of similarity search becomes an important task. Along with the complexity of the objects such as images...
Thomas Seidl, Hans-Peter Kriegel
ICASSP
2008
IEEE
14 years 4 months ago
Adaptable K-nearest neighbor for image interpolation
A variant of the k-nearest neighbor algorithm is proposed for image interpolation. Instead of using a static volume or static k, the proposed algorithm determines a dynamic k that...
Kenta S. Ni, Truong Q. Nguyen
JMLR
2010
128views more  JMLR 2010»
13 years 8 months ago
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Bagging is a simple way to combine estimates in order to improve their performance. This method, suggested by Breiman in 1996, proceeds by resampling from the original data set, c...
Gérard Biau, Frédéric C&eacut...