376 search results - page 6 / 76 » Clustering with Constrained Similarity Learning |
TKDE
2002
13 years 7 months ago
2002
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We propose a novel framework for constrained spectral
clustering with pairwise constraints which specify whether
two objects belong to the same cluster or not. Unlike previous
m...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
The availability of techniques for comparing descriptions has many applications in Artificial Intelligence, ranging from description selection to flexible matching, from instance...
AAAI
2006
13 years 9 months ago
2006
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...