42 search results - page 8 / 9 » Hubs in Space: Popular Nearest Neighbors in High-Dimensional... |
ISNN
2005
Springer
14 years 18 days ago
2005
Springer
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
We study the domain of dominant competence of six popular classifiers in a space of data complexity measurements. We observe that the simplest classifiers, nearest neighbor and li...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
ICDE
2003
IEEE
14 years 8 months ago
2003
IEEE
In many database applications involving string data, it is common to have near neighbor queries (asking for strings that are similar to a query string) or nearest neighbor queries...
AAAI
2010
13 years 8 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...