Name
Title | ||
|---|---|---|
Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification. |
Abstract | ||
|---|---|---|
As a popular dimensionality reduction method, nonnegative matrix factorization (NMF) has been widely used in image classification. However, the NMF does not consider discriminant information from the data themselves. In addition, most NMF-based methods use the Euclidean distance as a metric, which is sensitive to noise or outliers in data. To solve these problems, in this paper, we introduce struc... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2018.2855433 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Matrix decomposition,Image classification,Robustness,Manifolds,Classification algorithms,Feature extraction,Face recognition | Data point,Dimensionality reduction,Pattern recognition,Matrix decomposition,Euclidean distance,Feature extraction,Non-negative matrix factorization,Artificial intelligence,Statistical classification,Contextual image classification,Mathematics | Journal |
Volume | Issue | ISSN |
27 | 11 | 1057-7149 |
Citations | PageRank | References |
8 | 0.42 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuwu Lu | 1 | 196 | 12.50 |
| Yuan Chun | 2 | 265 | 32.08 |
| Wenwu Zhu | 3 | 4399 | 300.42 |
| Xuelong Li | 4 | 15049 | 617.31 |