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171
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
Combining information from the higher level and the lower level has long been recognized as an essential component in holistic image understanding. However, an efficient inferenc...
146
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TNN
2010
14 years 9 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
161
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CORR
2012
Springer
13 years 10 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
110
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Structured models often achieve excellent performance but can be slow at test time. We investigate structure compilation, where we replace structure with features, which are often...
144
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AGI
2011
14 years 6 months ago
2011
Abstract. Humans have the remarkable ability to generalize from binocular to monocular figure-ground segmentation of complex scenes. This is clearly evident anytime we look at a p...