Uncertainty estimation using variational mixture of gaussians capsule network for health image classification

HIGHLIGHTS

  • who: Patrick Kwabena Mensah and collaborators from the Department of Computer Science and Informatics, University of Energy and Natural Resources, POBox, Sunyani, Ghana School of Information Technology, University of Cincinnati, OH, USA have published the research: Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification, in the Journal: Computational Intelligence and Neuroscience of 30/09/2022
  • what: The authors propose a capsule network based on a variational mixture of Gaussians to train distributions of network weights as opposed to a single set of weights and enable the model to express its . . .

     

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