Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs
Dealing with data and observations has always been an important aspect of discovery in
science. The idea that science is related to data was brilliantly summarised by Fourier in his …
science. The idea that science is related to data was brilliantly summarised by Fourier in his …
Graph similarity learning for change-point detection in dynamic networks
Dynamic networks are ubiquitous for modelling sequential graph-structured data, eg, brain
connectome, population flows and messages exchanges. In this work, we consider dynamic …
connectome, population flows and messages exchanges. In this work, we consider dynamic …
Graph similarity learning for change-point detection in dynamic networks
Dynamic networks are ubiquitous for modelling sequential graph-structured data, eg, brain
connectivity, population migrations, and social networks. In this work, we consider the …
connectivity, population migrations, and social networks. In this work, we consider the …
Manifold-valued data analysis of networks and shapes
K Severn - 2020 - eprints.nottingham.ac.uk
This thesis is concerned with the study of manifold-valued data analysis. Manifold-valued
data is a type of multivariate data that lies on a manifold as opposed to a Euclidean space …
data is a type of multivariate data that lies on a manifold as opposed to a Euclidean space …