1183 search results - page 102 / 237 » Learning Process Models with Missing Data |
108
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CORR
2010
Springer
14 years 10 months ago
2010
Springer
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
130
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ECCV
2002
Springer
16 years 3 months ago
2002
Springer
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
138
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CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
135
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
159
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JMLR
2012
13 years 4 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...