45 search results - page 2 / 9 » Computing Gaussian Mixture Models with EM Using Equivalence ... |
NN
1998
Springer
13 years 7 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
EMMCVPR
1999
Springer
13 years 12 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
Inspired by the idea of multi-view, we proposed an image segmentation algorithm using co-EM strategy in this paper. Image data are modeled using Gaussian Mixture Model (GMM), and t...