4 papers
Node-Bound Communities for Partition of Unity Interpolation on Graphs
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti +1
Graph signal processing benefits significantly from the direct and highly adaptable supplementary techniques offered by partition of unity methods (PUMs) on graphs. In our approach…
Node-Binded Communities for Interpolation on Graphs
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti +1
Partition of unity methods (PUMs) on graphs represent straightforward and remarkably adaptable auxiliary techniques for graph signal processing. By relying solely on the intrinsic…
Parameter Tuning in the Radial Kernel-Based Partition of Unity Method by Bayesian Optimization
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti +1
In this paper, we employ Bayesian optimization to concurrently explore the optimal values for both the shape parameter and the radius in the partition of unity interpolation using…
A Bayesian Approach for Simultaneously Radial Kernel Parameter Tuning in the Partition of Unity Method
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti +1
In this paper, Bayesian optimisation is used to simultaneously search the optimal values of the shape parameter and the radius in radial basis function partition of unity interpola…