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122
Voted
ICDM
2006
IEEE
15 years 6 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
106
Voted
CVPR
2010
IEEE
15 years 22 days ago
2010
IEEE
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
GECCO
2009
Springer
15 years 5 months ago
2009
Springer
Previously either due to hardware GPU limits or older versions of software, careful implementation of PRNGs was required to make good use of the limited numerical precision availa...
120
Voted
CCE
2010
14 years 10 months ago
2010
In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
105
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...