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» Theory and Use of the EM Algorithm
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SSPR
2004
Springer
14 years 2 months ago
EM Initialisation for Bernoulli Mixture Learning
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...
Alfons Juan, José García-Herná...
EMNLP
2011
12 years 8 months ago
Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
We present new training methods that aim to mitigate local optima and slow convergence in unsupervised training by using additional imperfect objectives. In its simplest form, lat...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
GCC
2004
Springer
14 years 2 months ago
EM Medical Image Reconstruction in a Peer-to-Peer Systems
Medical image reconstruction remains a topic of interest to medical researchers. Although the algorithms have become more mature, one particular challenge has persisted over the de...
Jun Ni, Tao He, Xiang Li, Shaowen Wang, Ge Wang
MT
1998
76views more  MT 1998»
13 years 8 months ago
Line 'Em Up: Advances in Alignment Technology and their Impact on Translation Support Tools
We present a quantitative evaluation of one well-known word alignment algorithm, as well as an analysis of frequent errors in terms of this model's underlying assumptions. De...
Elliott Macklovitch, Marie-Louise Hannan
COLT
1995
Springer
14 years 6 days ago
A Comparison of New and Old Algorithms for a Mixture Estimation Problem
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
David P. Helmbold, Yoram Singer, Robert E. Schapir...