1520 search results - page 128 / 304 » On the Error Parameter of Dispersers |
163
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NIPS
2003
15 years 7 months ago
2003
We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
162
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NIPS
1998
15 years 7 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
167
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UAI
1997
15 years 7 months ago
1997
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
140
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
We consider the estimation of a sparse parameter vector from measurements corrupted by white Gaussian noise. Our focus is on unbiased estimation as a setting under which the difï¬...
154
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
In this paper, we suggest to use a steepest descent algorithm for learning a parametric dictionary in which the structure or atom functions are known in advance. The structure of ...