9 search results - page 1 / 2 » Bayesian Learning of Hierarchical Multinomial Mixture Models... |
CIVR
2006
Springer
13 years 8 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
ECIR
2009
Springer
14 years 1 months ago
2009
Springer
Previous research on automatic image annotation has shown that accurate estimates of the class conditional densities in generative models have a positive effect in annotation perf...
MM
2004
ACM
13 years 10 months ago
2004
ACM
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
TMI
2010
13 years 2 months ago
2010
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...