327 search results - page 2 / 66 » Density Estimation by Mixture Models with Smoothing Priors |
ICIP
2001
IEEE
14 years 7 months ago
2001
IEEE
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar co...
CVPR
1997
IEEE
13 years 10 months ago
1997
IEEE
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
CIVR
2006
Springer
13 years 10 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...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
TIP
2002
13 years 5 months ago
2002
We address the problem of Bayesian image reconstruction with a prior that captures the notion of a clustered intensity histogram. The problem is formulated in the framework of a j...