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...
| Những tác giả chính: | , , |
|---|---|
| Định dạng: | Conference item |
| Ngôn ngữ: | English |
| Được phát hành: |
Curran Associates
2008
|