245 search results - page 13 / 49 » Learned parametric mixture based ICA algorithm |
ICPR
2004
IEEE
14 years 11 months ago
2004
IEEE
Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensio...
ICNC
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. A mixture multiscale autoregressive moving average (ARMA) network is proposed for unsupervised segmentation of synthetic aperture radar (SAR) image. The network combines ...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has running ...
BMEI
2009
IEEE
13 years 11 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
SAC
2005
ACM
14 years 3 months ago
2005
ACM
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...