13 search results - page 1 / 3 » Model-based Bayesian clustering (MBBC) |
BIOINFORMATICS
2008
13 years 5 months ago
2008
KDD
2003
ACM
14 years 5 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
IJDMMM
2010
2010
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
13 years 3 months ago
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
CLASSIFICATION
2007
13 years 4 months ago
2007
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle...