376 search results - page 10 / 76 » Clustering with Constrained Similarity Learning |
TKDE
2012
11 years 10 months ago
2012
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
COLING
2008
13 years 9 months ago
2008
In this paper we propose a new distance function (rank distance) designed to reflect stylistic similarity between texts. To assess the ability of this distance measure to capture ...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We consider the problem of learning a similarity function from a set of positive equivalence constraints, i.e. 'similar' point pairs. We define the similarity in informa...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...