Name
Abstract | ||
|---|---|---|
•A graph-based semi-supervised learning scheme is introduced for face beauty prediction.•The introduced scheme is the first approach that performs beauty score propagation.•The method is based on the use of face texture and continuous scores.•Performance is assessed on three public datasets.•Performance is assessed using supervised and semi-supervised schemes. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.eswa.2019.112990 | Expert Systems with Applications |
Keywords | Field | DocType |
Image-based face beauty analysis,Graph-based semi-supervised learning,Graph-based label propagation,Deep face features, | Transduction (machine learning),Graph,Manifold embedding,Nonlinear system,Computer science,Beauty,Artificial intelligence,Real number,Machine learning | Journal |
Volume | ISSN | Citations |
142 | 0957-4174 | 3 |
PageRank | References | Authors |
0.43 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fadi Dornaika | 1 | 809 | 96.43 |
| Kunwei Wang | 2 | 6 | 1.50 |
| Ignacio Arganda-Carreras | 3 | 71 | 8.02 |
| Anne Elorza | 4 | 5 | 1.16 |
| Abdelmalik Moujahid | 5 | 53 | 10.33 |