4629 search results - page 93 / 926 » Space Kernel Analysis |
171
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JMLR
2011
15 years 15 days ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
125
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DCC
2009
IEEE
16 years 6 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
182
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IJCNN
2007
IEEE
15 years 12 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
127
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CIVR
2007
Springer
15 years 11 months ago
2007
Springer
The objective of this paper is classifying images by the object categories they contain, for example motorbikes or dolphins. There are three areas of novelty. First, we introduce ...
158
Voted
CVPR
2009
IEEE
15 years 9 months ago
2009
IEEE
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...