466 search results - page 44 / 94 » Shape Priors using Manifold Learning Techniques |
145
Voted
ECML
2007
Springer
15 years 10 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...
159
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NLPRS
2001
Springer
15 years 9 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
156
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
This paper presents a method for automatic segmentation of bone from volumetric computed tomography (CT) data. Due to osteoporosis, which degenerates the bone density and hence de...
118
Voted
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
145
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CVPR
2003
IEEE
16 years 6 months ago
2003
IEEE
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...