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ORCIDMadeleine S. Kotzagiannidis
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2020 – today
- 2022
[j1]Madeleine S. Kotzagiannidis
, Carola-Bibiane Schönlieb:
Semi-Supervised Superpixel-Based Multi-Feature Graph Learning for Hyperspectral Image Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022)
2010 – 2019
- 2019
- [c4]Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies:
Compressive Independent Component Analysis. EUSIPCO 2019: 1-5 - 2018
- [c3]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. GlobalSIP 2018: 698-702 - [i4]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. CoRR abs/1811.04460 (2018) - [i3]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs. CoRR abs/1811.04493 (2018) - 2016
- [c2]Madeleine S. Kotzagiannidis, Pier Luigi Dragotti:
The graph FRI framework-spline wavelet theory and sampling on circulant graphs. ICASSP 2016: 6375-6379 - [i2]Madeleine S. Kotzagiannidis, Pier Luigi Dragotti:
Splines and Wavelets on Circulant Graphs. CoRR abs/1603.04917 (2016) - [i1]Madeleine S. Kotzagiannidis, Pier Luigi Dragotti:
Sampling and Reconstruction of Sparse Signals on Circulant Graphs - An Introduction to Graph-FRI. CoRR abs/1606.08085 (2016) - 2014
- [c1]Madeleine S. Kotzagiannidis, Pier Luigi Dragotti:
Sparse graph signal reconstruction and image processing on circulant graphs. GlobalSIP 2014: 923-927
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