18 search results - page 2 / 4 » Comparison between Two Prototype Representation Schemes for ... |
IDA
2005
Springer
13 years 11 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 ...
PR
2006
13 years 5 months ago
2006
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offere...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
ICPR
2008
IEEE
13 years 12 months ago
2008
IEEE
—The k nearest neighbor (k-NN) classifier has been extensively used as a nonparametric technique in Pattern Recognition. However, in some applications where the training set is l...