1387 search results - page 17 / 278 » Variational Bayesian image modelling |
111
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ML
2012
ACM
13 years 7 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
ICCV
1999
IEEE
15 years 4 months ago
1999
IEEE
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
112
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CAIP
2009
Springer
15 years 6 months ago
2009
Springer
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...
119
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PRL
2000
14 years 11 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
106
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FGR
2008
IEEE
15 years 6 months ago
2008
IEEE
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...