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ICDT
2005
ACM
88views Database» more  ICDT 2005»
13 years 9 months ago
When Is Nearest Neighbors Indexable?
Abstract. In this paper, we consider whether traditional index structures are effective in processing unstable nearest neighbors workloads. It is known that under broad conditions...
Uri Shaft, Raghu Ramakrishnan
ICDT
2001
ACM
116views Database» more  ICDT 2001»
13 years 8 months ago
On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces
Abstract. Nearest-neighbor queries in high-dimensional space are of high importance in various applications, especially in content-based indexing of multimedia data. For an optimiz...
Stefan Berchtold, Christian Böhm, Daniel A. K...
ICIP
2007
IEEE
13 years 10 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
ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
13 years 8 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...
PAMI
2008
152views more  PAMI 2008»
13 years 4 months ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet