Name
Title | ||
|---|---|---|
State space partitioning based on constrained spectral clustering for block particle filtering |
Abstract | ||
|---|---|---|
•Online and automatic partitioning of high dimensional state spaces for block particle filtering.•Revisiting the state space partitioning problem as a clustering problem.•Using the state correlation matrix estimated from predicted particles as a similarity matrix of spectral clustering.•Adding a constraint to prevent spectral clustering from choosing too large blocks. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.sigpro.2022.108727 | Signal Processing |
Keywords | DocType | Volume |
Block particle filter,High dimensional models,State space partitioning,Constrained spectral clustering | Journal | 201 |
ISSN | Citations | PageRank |
0165-1684 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Min | 1 | 0 | 0.34 |
| Christelle Garnier | 2 | 0 | 0.34 |
| François Septier | 3 | 0 | 1.01 |
| John Klein | 4 | 0 | 1.01 |