1658 search results - page 107 / 332 » Learning Mixtures of Gaussians |
180
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
207
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UAI
2003
15 years 7 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
177
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IJAR
2006
15 years 6 months ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
164
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. M...
155
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APVIS
2010
15 years 7 months ago
2010
This paper presents an interactive transfer function design tool based on ellipsoidal Gaussian transfer functions (ETFs). Our approach explores volumetric features in the statisti...