1859 search results - page 132 / 372 » Using Problems to Learn Service-Oriented Computing |
166
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CVPR
2006
IEEE
16 years 7 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
163
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JMLR
2012
13 years 7 months ago
2012
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
214
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CVPR
2009
IEEE
17 years 6 days ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
167
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Single camera-based multiple-person tracking is often hindered by difficulties such as occlusion and changes in appearance. In this paper, we address such problems by proposing a...
177
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CVPR
2003
IEEE
16 years 7 months ago
2003
IEEE
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...