466 search results - page 47 / 94 » Shape Priors using Manifold Learning Techniques |
128
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ICML
1999
IEEE
16 years 5 months ago
1999
IEEE
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...
143
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
158
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ICIP
2006
IEEE
16 years 6 months ago
2006
IEEE
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
270
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MICCAI
2010
Springer
15 years 10 months ago
2010
Springer
While there has been substantial progress in segmenting natural im-
ages, state-of-the-art methods that perform well in such tasks unfortunately tend
to underperform ...
114
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ICIP
1999
IEEE
16 years 6 months ago
1999
IEEE
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...