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ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
15 years 6 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...
ICIAP
2003
ACM
16 years 2 months ago
Depth-first k-nearest neighbor finding using the MaxNearestDist estimator
A description is given of how to use an estimate of the maximum possible distance at which a nearest neighbor can be found to prune the search process in a depth-first branch and ...
Hanan Samet
143
Voted
CVPR
2010
IEEE
15 years 10 months ago
SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Ruei-Sung Lin, David Ross, Jay Yagnik
127
Voted
EDBT
2008
ACM
128views Database» more  EDBT 2008»
16 years 2 months ago
Processing transitive nearest-neighbor queries in multi-channel access environments
Wireless broadcast is an efficient way for information dissemination due to its good scalability [10]. Existing works typically assume mobile devices, such as cell phones and PDAs...
Xiao Zhang, Wang-Chien Lee, Prasenjit Mitra, Baihu...
FOCS
2004
IEEE
15 years 6 months ago
An Optimal Randomised Cell Probe Lower Bound for Approximate Nearest Neighbour Searching
We consider the approximate nearest neighbour search problem on the Hamming cube {0, 1}d. We show that a randomised cell probe algorithm that uses polynomial storage and word size...
Amit Chakrabarti, Oded Regev