3096 search results - page 59 / 620 » Theory and Use of the EM Algorithm |
105
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CORR
2007
Springer
15 years 1 months ago
2007
Springer
— This paper introduces an expectation-maximization (EM) algorithm within a wavelet domain Bayesian framework for semi-blind channel estimation of multiband OFDM based UWB commun...
GECCO
2005
Springer
15 years 7 months ago
2005
Springer
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
124
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CVPR
2008
IEEE
15 years 3 months ago
2008
IEEE
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
101
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NIPS
2007
15 years 3 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
119
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PKDD
2010
Springer
14 years 12 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...