501 search results - page 2 / 101 » Kernel Nearest Neighbor Algorithm |
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to the curse-ofdimensionality. Sev...
ADBIS
2007
Springer
13 years 9 months ago
2007
Springer
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 ...
ICIAP
2003
ACM
14 years 5 months ago
2003
ACM
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 ...