24 search results - page 1 / 5 » Bernoulli Mixture Models for Binary Images |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Mixture modelling is a hot area in pattern recognition. Although most research in this area has focused on mixtures for continuous data, there are many pattern recognition tasks f...
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...