• Bayesian multiscale analysis of images modeled as Gaussian Markov random fields 

      Thon, Kevin; Rue, Håvard; Skrøvseth, Stein Olav; Godtliebsen, Fred (Journal article; Peer reviewed, 2012)
      A Bayesian multiscale technique for detection of statistically significant features in noisy images is proposed. The prior is defined as a stationary intrinsic Gaussian Markov random field on a toroidal graph, which enables ...
    • A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning 

      Møllersen, Kajsa; Hardeberg, Jon Yngve; Godtliebsen, Fred (Peer reviewed; Journal article, 2020)
      Multi-instance (MI) learning is a branch of machine learning, where each object (bag) consists of multiple feature vectors (instances)—for example, an image consisting of multiple patches and their corresponding feature ...