Sensing-aware kernel SVM
ICASSP, pp. 2947-2951, 2014.
likelihood functionsensing modelbag of wordssensing-aware kernel svmimage classification tasksMore(11+)
We propose a novel approach for designing kernels for support vector machines (SVMs) when the class label is linked to the observation through a latent state and the likelihood function of the observation given the state (the sensing model) is available. We show that the Bayes-optimum decision boundary is a hyperplane under a mapping defi...More
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