136 search results - page 7 / 28 » Hierarchical mixture models: a probabilistic analysis |
NIPS
2004
13 years 9 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
WACV
2007
IEEE
14 years 1 months ago
2007
IEEE
Facial feature localization is an important research area in both computer vision and pattern analysis. We present in this paper a hierarchical face model. It unifies both the gl...
DAGM
1998
Springer
13 years 12 months ago
1998
Springer
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
Image segmentation is conventionally formulated as a pixellabeling problem, in which “hard” decisions have to be made to partition pixels into regions. As image segmentation i...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...