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» A branch and bound method for stochastic global optimization
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EMMCVPR
2011
Springer
13 years 9 months ago
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
Variational relaxations can be used to compute approximate minimizers of optimal partitioning and multiclass labeling problems on continuous domains. While the resulting relaxed co...
Jan Lellmann, Frank Lenzen, Christoph Schnörr
ECCV
2008
Springer
15 years 11 months ago
Image Segmentation by Branch-and-Mincut
Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from lowlevel cues. However, introducing a high-level prior...
Victor S. Lempitsky, Andrew Blake, Carsten Rother
COLT
2007
Springer
15 years 3 months ago
Learning Permutations with Exponential Weights
We give an algorithm for the on-line learning of permutations. The algorithm maintains its uncertainty about the target permutation as a doubly stochastic weight matrix, and makes...
David P. Helmbold, Manfred K. Warmuth
WIOPT
2010
IEEE
14 years 8 months ago
Optimal slotted random access in coded wireless packet networks
Abstract—We consider the problem of jointly optimizing random access and subgraph selection in coded wireless packet networks. As opposed to the corresponding scheduling approach...
Maximilian Riemensberger, Michael Heindlmaier, And...
RTSS
2005
IEEE
15 years 3 months ago
Optimal Task Rate Selection in Fixed Priority Systems
The design phase of any real-time system requires balancing the limited computational resources against the functional requirements and the performance of the application. The opt...
Enrico Bini, Marco Di Natale