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ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
111
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
157
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PAMI
2011
14 years 9 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
122
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
CDC
2009
IEEE
15 years 7 months ago
2009
IEEE
— Consider multiple sensors that transmit data over analog erasure links to an estimation center. The sensors have access to distinct entries of the output vector of a linear and...