508 search results - page 56 / 102 » A Variational Approach to Learning Curves |
104
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ICCV
1999
IEEE
15 years 5 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...
130
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CIVR
2006
Springer
15 years 5 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
123
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SI3D
2010
ACM
15 years 8 months ago
2010
ACM
In this paper a method for estimating a rigid skeleton, including skinning weights, skeleton connectivity, and joint positions, given a sparse set of example poses is presented. I...
147
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JMLR
2012
13 years 4 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
123
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CVPR
1999
IEEE
16 years 3 months ago
1999
IEEE
This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture...