376 search results - page 13 / 76 » Clustering with Constrained Similarity Learning |
ML
2006
ACM
13 years 7 months ago
2006
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Recently a large amount of research has been devoted to
automatic activity analysis. Typically, activities have been
defined by their motion characteristics and represented by
t...
ICML
1997
IEEE
13 years 11 months ago
1997
IEEE
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
GFKL
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. We consider the problem of finding communities in large linked networks such as web structures or citation networks. We review similarity measures for linked objects and...