295 search results - page 3 / 59 » An iterative unsupervised learning method for information di... |
ISNN
2004
Springer
13 years 11 months ago
2004
Springer
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
COOPIS
2003
IEEE
13 years 11 months ago
2003
IEEE
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subseque...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
ICIAR
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. In this article we present the results of an unsupervised segmentation algorithm based on a multiresolution method. The algorithm uses color and edge information in an it...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...