Name
Abstract | ||
|---|---|---|
In this paper, we propose a Newton-based algorithm for nonnegative matrix factorization in image processing. We employ the new algorithm to three real-world databases. Extensive numerical results show the feasibility and validity of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.amc.2015.08.034 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Image processing,Nonnegative matrix factorization,Gradient direction,Newton direction | Mathematical optimization,Mathematical analysis,Gradient direction,Image processing,Algorithm,Newton's method in optimization,Non-negative matrix factorization,Dixon's factorization method,Mathematics,Quadratic sieve | Journal |
Volume | Issue | ISSN |
269 | C | 0096-3003 |
Citations | PageRank | References |
1 | 0.35 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li-Ying Hu | 1 | 2 | 1.05 |
| Gong-De Guo | 2 | 2 | 1.05 |
| Changfeng Ma | 3 | 197 | 29.63 |