496 search results - page 23 / 100 » Semi-Supervised Learning of Mixture Models |
122
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NN
2002
Springer
15 years 2 months ago
2002
Springer
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
134
Voted
SSPR
2004
Springer
15 years 8 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...
117
Voted
FSKD
2008
Springer
15 years 3 months ago
2008
Springer
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
114
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
In this paper we propose a novel scheme to combine offline and online features of handwritten strokes. The stateof-the-art methods in handwritten stroke recognition have used a pr...
121
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CORR
2010
Springer
15 years 2 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 ...