864 search results - page 64 / 173 » Algorithmic Differentiation: Application to Variational Prob... |
127
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JMLR
2010
14 years 10 months ago
2010
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
142
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EMMCVPR
2005
Springer
15 years 8 months ago
2005
Springer
This paper is devoted to piecewise-constant segmentation of images using a curve evolution approach in a variational formulation. The problem to be solved is also called the minima...
142
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ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
107
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Learning-based superresolution (SR) are popular SR techniques that use application dependent priors to infer the missing details in low resolution images (LRIs). However, their pe...
114
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ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Active contours were proposed by Kass et al. as a way to represent the contours of an image. Although the method is simple, one of its shortcomings is its inability to converge in...