1775 search results - page 23 / 355 » Learning Spectral Clustering |
KDD
2007
ACM
14 years 9 months ago
2007
ACM
PRIS
2004
13 years 10 months ago
2004
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
PAMI
2011
13 years 3 months ago
2011
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...