Name
Abstract | ||
|---|---|---|
For many modern applications in science and engineering, data are collected in a streaming fashion carrying time-varying information, and practitioners need to process them with a limited amount of memory and computational resources in a timely manner for decision making. This often is coupled with the missing data problem, such that only a small fraction of data attributes are observed. These com... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JPROC.2018.2847041 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Principal component analysis,Signal processing algorithms,Signal processing,Radar tracking,Statistical analysis,Machine learning algorithms,Complexity theory,Time-varying systems | Journal | 106 |
Issue | ISSN | Citations |
8 | 0018-9219 | 3 |
PageRank | References | Authors |
0.40 | 37 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laura Balzano | 1 | 410 | 27.51 |
| Yuejie Chi | 2 | 720 | 56.67 |
| Yue M. Lu | 3 | 677 | 60.17 |