60 search results - page 8 / 12 » Semisupervised Clustering with Metric Learning using Relativ... |
GFKL
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
ECTEL
2009
Springer
13 years 5 months ago
2009
Springer
One of the objectives of this paper is to verify whether it is possible to extract meaningful related tags from a limited set of tagged resources and from resources tagged by only ...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
BMCBI
2010
13 years 8 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Book
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...