182 search results - page 29 / 37 » Component-wise parameter smoothing for learning mixture mode... |
MICCAI
2005
Springer
14 years 9 months ago
2005
Springer
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
NIPS
1998
13 years 10 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
ECML
2001
Springer
14 years 1 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
JAIR
2008
13 years 8 months ago
2008
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
This paper presents a novel Gaussianized vector representation for scene images by an unsupervised approach. First, each image is encoded as an ensemble of orderless bag of featur...