19 citations · 19 across the 1 of their papers we have counts for
5 papers
Semi-supervised Superpixel-based Multi-Feature Graph Learning for Hyperspectral Image Data
Madeleine Kotzagiannidis, Carola-Bibiane Schönlieb
Graphs naturally lend themselves to model the complexities of Hyperspectral Image (HSI) data as well as to serve as semi-supervised classifiers by propagating given labels among ne…
Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs
Madeleine S. Kotzagiannidis, Mike E. Davies
We consider the problem of characterizing the `duality gap' between sparse synthesis- and cosparse analysis-driven signal models through the lens of spectral graph theory, in an ef…
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs
Madeleine S. Kotzagiannidis, Mike E. Davies
In this work, we present a theoretical study of signals with sparse representations in the vertex domain of a graph, which is primarily motivated by the discrepancy arising from re…
Sampling and Reconstruction of Sparse Signals on Circulant Graphs - An Introduction to Graph-FRI
Madeleine S. Kotzagiannidis, Pier Luigi Dragotti
With the objective of employing graphs toward a more generalized theory of signal processing, we present a novel sampling framework for (wavelet-)sparse signals defined on circulan…
Splines and Wavelets on Circulant Graphs
Madeleine S. Kotzagiannidis, Pier Luigi Dragotti
We present novel families of wavelets and associated filterbanks for the analysis and representation of functions defined on circulant graphs. In this work, we leverage the inheren…