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Bayesian active learning for microscopy image segmentation
Data efficient learning algorithms have been the key to enable machine learning applications in domains where data is scarce. An example of such a domain are microscopy images, since in many cases the generation of such images and especially the annotation is costly. This thesis focuses on instance segmentation whereby a model learns from training dataopenaire +1 more source
Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning
IEEE Transactions on Geoscience and Remote Sensing, 2011Jun Li, Antonio J Plaza
exaly
Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities
Reliability Engineering and System SafetyChao Dang, Michael Beer
exaly
Active learning using transductive sparse Bayesian regression
Information Sciences, 2016Youngdoo Son, Jaewook Lee
exaly
Bayesian active learning line sampling with log-normal process for rare-event probability estimation
Reliability Engineering and System SafetyChao Dang +2 more
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