2556 search results - page 83 / 512 » Clustering processes |
103
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
A new Bayesian model is proposed, integrating dictionary learning and topic modeling into a unified framework. The model is applied to cluster multiple images, and a subset of th...
132
Voted
DSN
2006
IEEE
15 years 9 months ago
2006
IEEE
Total order broadcast is a fundamental communication primitive that plays a central role in bringing cheap software-based high availability to a wide array of services. This paper...
147
Voted
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
159
Voted
IAT
2007
IEEE
15 years 3 months ago
2007
IEEE
User profiling is a fundamental task in Web personalization. Fuzzy clustering is a valid approach to derive user profiles by capturing similar user interests from web usage data a...
173
Voted
TNN
2010
14 years 10 months ago
2010
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...