376 search results - page 7 / 76 » Clustering with Constrained Similarity Learning |
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
A novel algorithm is proposed to learn pattern similarities for texture image retrieval. Similar patterns in di erent texture classes are grouped into a cluster in the feature spac...
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
JMLR
2010
13 years 2 months ago
2010
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
WEBI
2005
Springer
14 years 1 months ago
2005
Springer
Structured link vector model (SLVM) is a recently proposed document representation that takes into account both structural and semantic information for measuring XML document simi...