207 search results - page 3 / 42 » A Privacy Preserving Framework for Gaussian Mixture Models |
106
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
SOCO
2008
Springer
14 years 11 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
CVPR
2008
IEEE
16 years 1 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...
112
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CORR
2010
Springer
14 years 11 months ago
2010
Springer
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
ICASSP
2010
IEEE
14 years 11 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...