1183 search results - page 159 / 237 » Learning Process Models with Missing Data |
269
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ICDE
2008
IEEE
17 years 1 months ago
2008
IEEE
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
138
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IDA
1999
Springer
15 years 5 months ago
1999
Springer
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
ICCV
2005
IEEE
15 years 7 months ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
124
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
134
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ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...