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226
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...
201
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
177
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
147
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
155
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Learning algorithms often obtain relatively low average payoffs in repeated general-sum games between other learning agents due to a focus on myopic best-response and one-shot Nas...