Browsing Faculty of Engineering by Subject "Object detection"
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Variational bayesian multiple instance learning with gaussian processes (IEEE, 2017)Gaussian Processes (GPs) are effective Bayesian predictors. We here show for the first time that instance labels of a GP classifier can be inferred in the multiple instance learning (MIL) setting using variational Bayes. ...
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