1775 search results - page 74 / 355 » Learning Spectral Clustering |
129
Voted
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
111
Voted
AP2PC
2003
Springer
15 years 6 months ago
2003
Springer
This paper examines the decentralized formation of groups within a peer-to-peer multi-agent system. More specifically, it frames group formation as a clustering problem, and exami...
117
click to vote
CVPR
2009
IEEE
16 years 8 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...
113
click to vote
BMCBI
2008
15 years 1 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
ICPR
2004
IEEE
16 years 2 months ago
2004
IEEE
