406 search results - page 61 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
88
Voted
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
85
Voted
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
104
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ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...
126
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DPHOTO
2010
14 years 11 months ago
2010
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
67
Voted
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...