403 search results - page 46 / 81 » Bayesian cluster ensembles |
CIBB
2008
15 years 2 months ago
2008
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
85
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
109
Voted
ICMI
2000
Springer
15 years 4 months ago
2000
Springer
- In this paper, we describe a new Chinese character recognition system, in which neural networks are employed as a nonlinear pre-classifier to pre-classify similar Chinese charact...
112
Voted
JMLR
2011
14 years 7 months ago
2011
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are ...
139
Voted
KDD
2003
ACM
16 years 27 days 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...