Now showing items 14-19 of 19

    • Separation of fish stocks by otoliths: Image representation, Fourier approximation and discrimination 

      Hagen, Reidar Strand (Master thesis; Mastergradsoppgave, 2015-05-18)
      In this thesis the entire process of Fourier Contour Analysis have been investigated for potential sources of bias. No potential biases has been found when creating the contour, however it has been shown there is a slight bias in which otoliths get invalidated by breakage. A probablity based sampling strategy has been suggested instead of the previously used stratification based. It has been shown ...
    • Statistical analysis of CGPS time series 

      Ouassou, Mohammed (Master thesis; Mastergradsoppgave, 2007)
      All points on the surface of the Earth are moving. To define the velocity of a given point, we can place a GPS receiver there and measure the coordinates every day. After collecting enough data, we can generate a time series of three coordinates, North, East and Height directions. The most used technique to determine such displacements, is the linear model. The main objective of this thesis ...
    • A Step Towards Deep Learning-based CADs for Cancer Analysis in Medical Imaging 

      Pedersen, André (Master thesis; Mastergradsoppgave, 2019-06-01)
      In 2018, cancer was the second leading cause of death worldwide. Early detection can reduce mortality. Screening programs intended for early detection increases the workload for clinicians. To improve efficiency CAD systems would be highly beneficial. We have developed CAD systems using deep learning, for automatic tissue segmentation and prediction of diagnosis in lung and breast cancer. The ...
    • A threshold cointegration analysis of Norwegian interest rates 

      Larsen, Berner (Master thesis; Mastergradsoppgave, 2012-04)
      In this thesis we generalize the Hansen and Seo test in the R package tsDyn, which tests a linear cointegration model against a two-regime threshold cointegration model, to the case of three regimes in the alternative hypothesis. As the Lagrange Multiplier test statistic used in the Hansen and Seo test in tsDyn is different from the LM statistic described in Hansen and Seo (2002), we generalize ...
    • Trans-dimensional inference over Bayesian neural networks 

      Berezowski, Jonathan (Master thesis; Mastergradsoppgave, 2021-06-03)
      Trans-dimensional Bayesian inference for multi-layer perceptron architectures of varying size by reversible jump Markov chain Monte Carlo is developed and examined for its theoretical and practical merits and considerations. The algorithm features the No-U-Turn Sampler and Hamiltonian Monte Carlo for within-dimension moves, and makes use of a delayed-rejection sampler while exploring a variety of ...
    • Unsupervised segmentation of skin lesions 

      Møllersen, Kajsa (Master thesis; Mastergradsoppgave, 2008-11-15)
      During the last decades, the incidence rate of cutaneous malignant melanoma, a type of skin cancer developing from melanocytic skin lesions, has risen to alarmingly high levels. As there is no effective treatment for advanced melanoma, recognizing the lesion at an early stage is crucial for successful treatment. A trained expert dermatologist has an accuracy of around 75 % when diagnosing melanoma, ...