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CVPR
2011
IEEE
13 years 6 months ago
Biased Normalized Cuts
We present a modification of “Normalized Cuts” to incorporate priors which can be used for constrained image segmentation. Compared to previous generalizations of “Normaliz...
Subhransu Maji, Nisheeth Vishnoi, Jitendra Malik
GECCO
2008
Springer
156views Optimization» more  GECCO 2008»
13 years 11 months ago
Computing minimum cuts by randomized search heuristics
We study the minimum s-t-cut problem in graphs with costs on the edges in the context of evolutionary algorithms. Minimum cut problems belong to the class of basic network optimiz...
Frank Neumann, Joachim Reichel, Martin Skutella
COCOON
2007
Springer
14 years 4 months ago
On the Complexity of Finding an Unknown Cut Via Vertex Queries
We investigate the problem of finding an unknown cut through querying vertices of a graph G. Our complexity measure is the number of submitted queries. To avoid some worst cases, ...
Peyman Afshani, Ehsan Chiniforooshan, Reza Dorrigi...
CVPR
2010
IEEE
14 years 2 months ago
"Lattice Cut" - Constructing superpixels using layer constraints
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for featur...
Alastair Moore, Simon Prince
IWOMP
2007
Springer
14 years 4 months ago
Support for Fine Grained Dependent Tasks in OpenMP
OpenMP is widely used for shared memory parallel programming and is especially useful for the parallelisation of loops. When it comes to task parallelism, however, OpenMP is less p...
Oliver Sinnen, Jsun Pe, Alexander Vladimirovich Ko...