385 citations · 1.8k across the 36 of their papers we have counts for
3 papers · 1 filter
Convolutional Neural Networks Via Node-Varying Graph Filters
Fernando Gama, Geert Leus, Antonio G. Marques +1
Convolutional neural networks (CNNs) are being applied to an increasing number of problems and fields due to their superior performance in classification and regression tasks. Sinc…
The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain
Geert Leus, Santiago Segarra, Alejandro Ribeiro +1
Contemporary data is often supported by an irregular structure, which can be conveniently captured by a graph. Accounting for this graph support is crucial to analyze the data, lea…
Riemann-Langevin Particle Filtering in Track-Before-Detect
Fernando J. Iglesias-Garcia, Pranab K. Mandal, Mélanie Bocquel +1
Track-before-detect (TBD) is a powerful approach that consists in providing the tracker with sensor measurements directly without pre-detection. Due to the measurement model non-li…