1400 search results - page 194 / 280 » Bayesian hierarchical clustering |
358
Voted
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
176
click to vote
SDM
2004
SIAM
15 years 7 months ago
2004
SIAM
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
144
click to vote
CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
181
Voted
ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
158
click to vote
OSDI
2008
ACM
16 years 6 months ago
2008
ACM
Because writing computer programs is hard, computer programmers are taught to use encapsulation and modularity to hide complexity and reduce the potential for errors. Their progra...