3096 search results - page 17 / 620 » Theory and Use of the EM Algorithm |
ICIP
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
ICA
2004
Springer
14 years 2 months ago
2004
Springer
Robust clustering of data into overlapping linear subspaces is a common problem. Here we consider one-dimensional subspaces that cross the origin. This problem arises in blind sour...
CSDA
2007
13 years 8 months ago
2007
Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalize...
IJCNLP
2005
Springer
14 years 2 months ago
2005
Springer
Document clustering has many uses in natural language tools and applications. For instance, summarizing sets of documents that all describe the same event requires first identifyi...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...