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» On Fitting Mixture Models
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ECML
2006
Springer
14 years 17 days ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ICIP
2000
IEEE
14 years 1 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,...
ICMCS
2005
IEEE
137views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Modeling Dynamic Textures Using Subspace Mixtures
In this paper, we aim at modeling video sequences that exhibit temporal appearance variation. The dynamic texture model proposed in [6] is effective to model simple dynamic scene...
Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja
NAACL
2010
13 years 6 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
ECCV
2010
Springer
14 years 1 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...