847 search results - page 76 / 170 » Approximation algorithms for projective clustering |
92
Voted
ICALP
2009
Springer
16 years 29 days ago
2009
Springer
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
101
Voted
SSD
2005
Springer
15 years 6 months ago
2005
Springer
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
ICDM
2008
IEEE
15 years 7 months ago
2008
IEEE
Most research on Internet topology is based on active measurement methods. A major difficulty in using these tools is that one comes across many unresponsive routers. Different m...
80
Voted
ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
85
Voted
DATE
2004
IEEE
15 years 4 months ago
2004
IEEE
This paper presents a model reduction algorithm motivated by a connection between frequency domain projection methods and approximation of truncated balanced realizations. The met...