Opin vísindi

Browsing by Subject "Deep learning"

Browsing by Subject "Deep learning"

Sort by: Order: Results:

  • Pálsson, Burkni (University of Iceland, School of Engineering and Natural Sciences, Faculty of Electrical and Computer Engineering, 2023-09)
    The subject of this thesis is blind hyperspectral unmixing using deep learning based autoencoders. Two methods based on autoencoders are proposed and analyzed. Both methods seek to exploit the spatial correlations in the hyperspectral images to improve ...
  • Hassanian, Reza; Bouhlali, Lahcen; Riedel, Morris (IEEE, 2022-07-06)
    This study presents a deep learning (DL) neural network hybrid data-driven method that is able to predict turbulence flow velocity field. Recently many studies have reported the application of recurrent neural network (RNN) methods, particularly the ...
  • Zhu, Kaiqiang; Chen, Yushi; Ghamisi, Pedram; Jia, Xiuping; Benediktsson, Jon Atli (MDPI AG, 2019-01-22)
    Capsule networks can be considered to be the next era of deep learning and have recently shown their advantages in supervised classification. Instead of using scalar values to represent features, the capsule networks use vectors to represent features, ...
  • Palsson, Burkni; Sigurdsson, Jakob; Sveinsson, Jóhannes Rúnar; Ulfarsson, Magnus (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    In this paper, we present a deep learning based method for blind hyperspectral unmixing in the form of a neural network autoencoder. We show that the linear mixture model implicitly puts certain architectural constraints on the network, and it effectively ...
  • Atlason, Hans; Love, Askell; Sigurdsson, Sigurdur; Gudnason, Vilmundur; Ellingsen, Lotta María (Elsevier BV, 2019)
    White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic resonance images (MRIs) of the elderly. Detection and quantification of WMHs is important to help doctors make diagnoses and evaluate prognosis of their ...