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JMLR
2012
12 years 12 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
ICC
2008
IEEE
15 years 3 months ago
2008
IEEE
—In this paper we present APOS, a method for dynamically adapting the parameters of IEEE 802.11g to the estimated system state, with the aim of enhancing the quality of a voice c...
JCB
2007
14 years 9 months ago
2007
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...