251 search results - page 10 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
80
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper presents a new enhanced text extraction algorithm from degraded document images on the basis of the probabilistic models. The observed document image is considered as a...
CSDA
2006
14 years 9 months ago
2006
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
SSPR
2004
Springer
15 years 3 months ago
2004
Springer
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...