Name
Title | ||
|---|---|---|
The matching pursuit algorithm revisited: A variant for big data and new stopping rules. |
Abstract | ||
|---|---|---|
•A variant of matching pursuit algorithm (MPA) for big data.•New stopping rules for MPA.•Properties of the hat matrix.•Experiments with simulated data and air pollution data. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.sigpro.2018.09.033 | Signal Processing |
Keywords | Field | DocType |
Matching pursuit algorithm,Hat matrix,Big data,Information theoretic criteria,Air pollution data | Mathematical optimization,Hat matrix,Matrix (mathematics),Algorithm,Auxiliary variables,Gaussian,Optimal stopping rule,Big data,Mathematics,Matching pursuit algorithms,Linear regression | Journal |
Volume | ISSN | Citations |
155 | 0165-1684 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fangyao Li | 1 | 1 | 0.72 |
| Christopher M. Triggs | 2 | 3 | 1.19 |
| Bogdan Dumitrescu | 3 | 107 | 22.76 |
| Ciprian Doru Giurcneanu | 4 | 0 | 0.68 |