58 search results - page 6 / 12 » Adaptive Kernel Metric Nearest Neighbor Classification |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
AAAI
1997
13 years 8 months ago
1997
The minimum-distance classifier summarizes each class with a prototype and then uses a nearest neighbor approach for classification. Three drawbacks of the original minimum-distan...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper a new method for on-line signature authentication will be presented, which is based on a event-string modelling of features derived from pen-position and pressure si...
VLSISP
2010
13 years 5 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...