2740 search results - page 380 / 548 » Approximating Component Selection |
131
Voted
ICML
2007
IEEE
16 years 1 months 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...
124
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
117
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ICML
1999
IEEE
16 years 1 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
90
Voted
ISBI
2006
IEEE
16 years 1 months ago
2006
IEEE
In this paper, an automated registration framework is proposed to identify the differences between corresponding mammographic images. The deformation between a pair of mammograms ...
101
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WWW
2005
ACM
16 years 1 months ago
2005
ACM
PageRank is defined as the stationary state of a Markov chain obtained by perturbing the transition matrix of a web graph with a damping factor that spreads part of the rank. The...