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» Solving the Region Growing Problem on the Connection Machine
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ICML
2010
IEEE
13 years 8 months ago
Risk minimization, probability elicitation, and cost-sensitive SVMs
A new procedure for learning cost-sensitive SVM classifiers is proposed. The SVM hinge loss is extended to the cost sensitive setting, and the cost-sensitive SVM is derived as the...
Hamed Masnadi-Shirazi, Nuno Vasconcelos
ICMLA
2010
13 years 5 months ago
Classification Models with Global Constraints for Ordinal Data
Ordinal classification is a form of multi-class classification where there is an inherent ordering between the classes, but not a meaningful numeric difference between them. Althou...
Jaime S. Cardoso, Ricardo Sousa
ECCV
2006
Springer
14 years 9 months ago
Fast, Quality, Segmentation of Large Volumes - Isoperimetric Distance Trees
For many medical segmentation tasks, the contrast along most of the boundary of the target object is high, allowing simple thresholding or region growing approaches to provide near...
Leo Grady
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
PVM
2007
Springer
14 years 1 months ago
Grid Services for MPI
Institutional grids consist of the aggregation of clusters belonging to different administrative domains to build a single parallel machine. To run an MPI application over an inst...
Camille Coti, Ala Rezmerita, Thomas Hérault...