Name
Abstract | ||
|---|---|---|
Multilinear compressive learning (MCL) is an efficient signal acquisition and learning paradigm for multidimensional signals. The level of signal compression affects the detection or classification performance of an MCL model, with higher compression rates often associated with lower inference accuracy. However, higher compression rates are more amenable to a wider range of applications, especiall... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JIOT.2021.3114743 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Sensors,Internet of Things,Optimization,Compressed sensing,Training,Throughput,Tensors | Journal | 9 |
Issue | ISSN | Citations |
9 | 2327-4662 | 0 |
PageRank | References | Authors |
0.34 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dat Tran | 1 | 454 | 78.64 |
| Moncef Gabbouj | 2 | 3282 | 386.30 |
| Alexandros Iosifidis | 3 | 841 | 72.43 |