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» Approximating max-min linear programs with local algorithms
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PAMI
2007
176views more  PAMI 2007»
14 years 9 months ago
Approximate Labeling via Graph Cuts Based on Linear Programming
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...
Nikos Komodakis, Georgios Tziritas
ICPR
2008
IEEE
15 years 4 months ago
An online polygonal approximation of digital signals and curves with Dynamic Programming algorithm
A fast online algorithm was developed for polygonal approximation of signals and curves with a minimum number of line segments for a given constraint on the standard deviation of ...
Alexander Kolesnikov
SIAMJO
2011
14 years 4 months ago
Approximating Semidefinite Packing Programs
In this paper we define semidefinite packing programs and describe an algorithm to approximately solve these problems. Semidefinite packing programs arise in many applications s...
Garud Iyengar, David J. Phillips, Clifford Stein
EACL
2009
ACL Anthology
15 years 10 months ago
Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings
We introduce cube summing, a technique that permits dynamic programming algorithms for summing over structures (like the forward and inside algorithms) to be extended with non-loc...
Kevin Gimpel, Noah A. Smith
57
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AAIM
2007
Springer
116views Algorithms» more  AAIM 2007»
15 years 3 months ago
Solving Generalized Maximum Dispersion with Linear Programming
The Generalized Maximum Dispersion problem asks for a partition of a given graph into p vertex-disjoint sets, each of them having at most k vertices. The goal is to maximize the to...
Gerold Jäger, Anand Srivastav, Katja Wolf