216 search results - page 34 / 44 » Learning in Gaussian Markov random fields |
128
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AAMAS
2010
Springer
15 years 3 months ago
2010
Springer
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...
103
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Most of the online multimedia collections, such as picture galleries or video archives, are categorized in a fully manual process, which is very expensive and may soon be infeasib...
141
Voted
ICDAR
2007
IEEE
15 years 9 months ago
2007
IEEE
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
99
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
141
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CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...