Name
Title | ||
|---|---|---|
Application of MEEMD in post-processing of dimensionality reduction methods for face recognition. |
Abstract | ||
|---|---|---|
Dimensionality reduction techniques are powerful tools for face recognition, because they obtain important information from a dataset. Several dimensionality reduction methods proposed in literature have been improved thanks to pre-processing approaches. However, they also require post-processing to rectify and increase the quality of projected data. This study presents a simple and new discrimina... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-bmt.2018.5033 | IET Biometrics |
Keywords | Field | DocType |
data reduction,face recognition,feature extraction,frequency-domain analysis | Frequency domain,Facial recognition system,Dimensionality reduction,Pattern recognition,Computer science,Outlier,Artificial intelligence,Discriminative model,Hilbert–Huang transform | Journal |
Volume | Issue | ISSN |
8 | 1 | 2047-4938 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdelghafour Abbad | 1 | 4 | 1.75 |
| Omar ElHarrouss | 2 | 22 | 6.17 |
| Khalid Abbad | 3 | 3 | 1.05 |
| Hamid Tairi | 4 | 57 | 17.49 |