Name
Abstract | ||
|---|---|---|
We study the problem of parametric modeling of network-structured signals with graph filters. To benefit from the properties of several graph shift operators simultaneously, and to enhance interpretability, we investigate combinations of parallel graph filters with different shift operators. Due to their extra degrees of freedom, these models might suffer from over-fitting. We address this problem... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LSP.2019.2954981 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Symmetric matrices,Laplace equations,Optimization,Parametric statistics,Convex functions,Signal processing,Topology | Graph,Signal modeling,Pattern recognition,Algorithm,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 12 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Hua | 1 | 9 | 2.83 |
| Cédric Richard | 2 | 940 | 71.61 |
| Jie Chen | 3 | 34 | 11.39 |
| Haiyan Wang | 4 | 39 | 16.48 |
| Pierre Borgnat | 5 | 542 | 48.01 |
| Paulo Gonçalves | 6 | 0 | 0.68 |