94 search results - page 1 / 19 » Bayesian adaptive nearest neighbor |
SADM
2010
12 years 11 months ago
2010
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
ADBIS
2007
Springer
13 years 8 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 ...
FSKD
2006
Springer
13 years 8 months ago
2006
Springer
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
ICPR
2002
IEEE
14 years 5 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...