Name
Abstract | ||
|---|---|---|
•The scattering transform is proposed for author authentification in art images.•Sparse linear classifiers are used in the classification stage.•Two datasets of high-resolution paintings are analyzed.•Results show excellent performance, superior to the state of the art on similar data.•Analysis of selected features reveals the importance of deep layers. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.sigpro.2018.03.012 | Signal Processing |
Keywords | Field | DocType |
Art authentication,Stylometry,Scattering transform,Sparse classifiers | The Renaissance,Mathematical optimization,Nonlinear system,Authentication,Pattern recognition,Cascade,Artificial intelligence,Scattering,Contextual image classification,Deep neural networks,Mathematics,Wavelet | Journal |
Volume | ISSN | Citations |
150 | 0165-1684 | 0 |
PageRank | References | Authors |
0.34 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto F. Leonarduzzi | 1 | 12 | 4.17 |
| Haixia Liu | 2 | 9 | 2.98 |
| Yang Wang | 3 | 59 | 10.33 |