Cooperative Cuts
2011
Talk
ei
Combinatorial problems with submodular cost functions have recently drawn interest. In a standard combinatorial problem, the sum-of-weights cost is replaced by a submodular set function. The result is a powerful model that is though very hard. In this talk, I will introduce cooperative cuts, minimum cuts with submodular edge weights. I will outline methods to approximately solve this problem, and show an application in computer vision. If time permits, the talk will also sketch regret-minimizing online algorithms for submodular-cost combinatorial problems. This is joint work with Jeff Bilmes (University of Washington).
Author(s): | Jegelka, S. |
Year: | 2011 |
Month: | March |
Day: | 0 |
Department(s): | Empirical Inference |
Bibtex Type: | Talk (talk) |
Digital: | 0 |
Event Name: | COSA Workshop: Combinatorial Optimization, Statistics, and Applications |
Event Place: | M{\"u}nchen, Germany |
Links: |
Web
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BibTex @talk{Jegelka2011, title = {Cooperative Cuts}, author = {Jegelka, S.}, month = mar, year = {2011}, doi = {}, month_numeric = {3} } |