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» Continuous Gaussian Mixture Modeling
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ICIP
2000
IEEE
14 years 2 months ago
Modelling Profiles with a Mixture of Gaussians
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
James Orwell, Darrel Greenhill, Jonathan D. Rymel,...
CIKM
2009
Springer
14 years 2 months ago
Probabilistic skyline queries
The ability to deal with uncertain information is becoming increasingly important for modern database applications. Whereas a conventional (certain) object is usually represented ...
Christian Böhm, Frank Fiedler, Annahita Oswal...
NAACL
2010
13 years 7 months ago
Using Gaussian Mixture Models to Detect Figurative Language in Context
We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an ...
Linlin Li, Caroline Sporleder
TIP
2008
163views more  TIP 2008»
13 years 9 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli
PAMI
1998
94views more  PAMI 1998»
13 years 9 months ago
Bayesian Approaches to Gaussian Mixture Modeling
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...
Stephen J. Roberts, Dirk Husmeier, Iead Rezek, Wil...