Name
Abstract | ||
|---|---|---|
Low-rank matrix factorization algorithms using the randomized sampling paradigm have recently gained momentum, owing to their computational efficiency, high accuracy, robustness, and efficient parallelization. This paper presents a randomized factorization algorithm tailored for low-rank matrices, called Randomized Partial UTV (RaP-UTV) factorization. RaP-Utvis efficient in arithmetic operations, ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICSPCC52875.2021.9564568 | 2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) |
Keywords | DocType | ISBN |
High performance computing,Signal processing algorithms,Signal processing,Approximation algorithms,Robustness,Computational efficiency,Matrix decomposition | Conference | 978-1-6654-2918-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maboud F. Kaloorazi | 1 | 1 | 4.75 |
| Jie Chen | 2 | 91 | 38.15 |
| Li Fei | 3 | 0 | 6.76 |
| Dan Wu | 4 | 0 | 0.34 |