18 search results - page 2 / 4 » Comparison between Two Prototype Representation Schemes for ... |
118
Voted
IDA
2005
Springer
15 years 9 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 ...
119
Voted
PR
2006
15 years 3 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...
140
Voted
ICPR
2006
IEEE
16 years 4 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....
113
Voted
ICPR
2002
IEEE
16 years 4 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, ...
127
Voted
ICPR
2008
IEEE
15 years 10 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...