603 search results - page 40 / 121 » Advances in constrained clustering |
AAAI
2006
13 years 11 months ago
2006
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
EMMCVPR
2005
Springer
14 years 3 months ago
2005
Springer
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
PR
2008
13 years 9 months ago
2008
Clustering algorithms are increasingly employed for the categorization of image databases, in order to provide users with database overviews and make their access more effective. ...
SIGGRAPH
1994
ACM
14 years 2 months ago
1994
ACM
We present an approach for accelerating hierarchical radiosity by clustering objects. Previous approaches constructed effective hierarchies by subdividing surfaces, but could not ...