251 search results - page 14 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
CORR
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
97
Voted
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
77
Voted
ACCV
2007
Springer
15 years 3 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...
83
Voted
CORR
2010
Springer
14 years 9 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 ...
116
Voted
ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...