• Extended Adjacency and Scale-Dependent Graph Fourier Transform via Diffusion Distances 

      Elias, Vitor; Martin, Wallace; Werner, Stefan (Peer reviewed; Journal article, 2020)
      This article proposes the augmentation of the adjacency model of networks for graph signal processing. It is assumed that no information about the network is available, apart from the initial adjacency matrix. In the ...
    • Modeling and Learning Strategies for Graph Signal Processing 

      Elias, Vitor Rosa Meireles (Doctoral theses at NTNU;2021:253, Doctoral thesis, 2021)
      This thesis proposes methods for modeling and learning over graphs. In the scope of graph modeling, we first address the construction of graphs suitable for compressing images that share strong redundancy — in particular, ...