2878 search results - page 268 / 576 » Learning the Common Structure of Data |
148
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ER
2007
Springer
16 years 24 days ago
2007
Springer
The longstanding problem of automatic table interpretation still illudes us. Its solution would not only be an aid to table processing applications such as large volume table conve...
165
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
202
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
184
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
231
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MM
2004
ACM
16 years 1 days ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...