3790 search results - page 162 / 758 » Advances in Mixture Models |
ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
137
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VTC
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— Ultra-wideband (UWB) communications is envisaged to be deployed in indoor environments, where the noise distribution is decidedly non-Gaussian. A critical challenge for...
144
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
117
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CSL
2004
Springer
15 years 4 months ago
2004
Springer
9 A two-level mixture linear dynamic system model, with frame-level switching parameters in the obser10 vation equation and with segment-level switching parameters in the target-d...
134
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UAI
2000
15 years 5 months ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...