4428 search results - page 17 / 886 » The Chow Parameters Problem |
121
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ICML
2007
IEEE
16 years 17 days ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
103
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ESANN
2007
15 years 1 months ago
2007
Radial basis function network (RBF) kernels are widely used for support vector machines (SVMs). But for model selection of an SVM, we need to optimize the kernel parameter and the ...
149
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FOGA
1998
15 years 1 months ago
1998
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...