Name
Abstract | ||
|---|---|---|
•This work focuses on the problem of unbalance JPEG images steganalysis.•A semi-supervised learning algorithm which integrates weighted Fisher linear discriminant and K-means clustering (WFLDK) into a join framework is devised to solve unbalanced image steganalysis.•Multiview match resampling method is proposed to rebalance the unbalanced training images. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jvcir.2015.10.013 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Steganalysis,Unbalanced images,Dimension reduction,Multiview match resampling,Weighted fisher linear discriminant,K-means,High-dimensional feature,Semi-supervised learning | k-means clustering,Computer vision,Steganography,Dimensionality reduction,Semi-supervised learning,Pattern recognition,JPEG,Artificial intelligence,Linear discriminant analysis,Steganalysis,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
34 | C | 1047-3203 |
Citations | PageRank | References |
5 | 0.47 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anxin Wu | 1 | 5 | 0.47 |
| Guorui Feng | 2 | 223 | 23.26 |
| Xinpeng Zhang | 3 | 2541 | 174.68 |
| Yanli Ren | 4 | 247 | 24.83 |