39 search results - page 3 / 8 » Integrating constraints and metric learning in semi-supervis... |
ECML
2006
Springer
14 years 6 days ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
TKDE
2008
13 years 8 months ago
2008
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
PR
2006
13 years 8 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
IAT
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--This paper describes an interactive tool for constrained clustering that helps users to select effective constraints efficiently during the constrained clustering process...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...