530 search results - page 24 / 106 » Dirichlet Process Mixtures of Generalized Linear Models |
124
Voted
ICDM
2005
IEEE
15 years 7 months ago
2005
IEEE
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
123
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
169
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper deals with estimation of dense optical flow
and ego-motion in a generalized imaging system by exploiting
probabilistic linear subspace constraints on the flow.
We dea...
149
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ICIP
2005
IEEE
16 years 3 months ago
2005
IEEE
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
96
Voted
ICASSP
2009
IEEE
15 years 8 months ago
2009
IEEE
We propose a model for the density of cross-spectral coefficients using Normal Variance Mean Mixtures. We show that this model density generalizes the corresponding marginal dens...