An analysis of convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori estimate of a general discrete random field (i.e. a random field defined using a finite and discrete set of labels) is known to be NP-hard. However, due to its central importance in many applications, several approximate algorithms have been proposed...
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| 格式: | Conference item |
| 语言: | English |
| 出版: |
Curran Associates
2008
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