14 search results - page 1 / 3 » The Generalized Condensed Nearest Neighbor Rule as A Data Re... |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
In this paper, we propose a new data reduction algorithm that iteratively selects some samples and ignores others that can be absorbed, or represented, by those selected. This alg...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
IDA
2005
Springer
13 years 10 months ago
2005
Springer
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...
ACIVS
2006
Springer
13 years 10 months ago
2006
Springer
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...