An Adaptive Ensemble Classifier for Steganalysis Based on Dynamic Weighted Fusion
文献类型：会议论文
| 作者 | Xikai Xu; Jing Dong ; Wei Wang; Tieniu Tan
|
| 出版日期 | 2015 |
| 会议日期 | October 23–24, 2015 |
| 会议地点 | Chengdu, China |
| 关键词 | Steganalysis |
| 英文摘要 | Recently, ensemble classifier is predominantly used for steganalysis of digital media, due to its efficiency when working with high-dimensional feature sets and large databases. While fusing the decisions of many weak base classifiers, the majority voting rule is often used, which has the disadvantage that all the classifiers have the same authority regardless of their individual classification abilities. In this paper, we propose a new dynamic weighted fusion method for steganalysis which can be adaptive to input testing samples. For each testing sample, the weight of each base classifier is dynamically assigned according to the distance between the testing sample and the classifier. Experimental results show that the proposed method is able to increase steganalysis performance. |
| 会议录 | Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12567]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Jing Dong |
| 推荐引用方式 GB/T 7714 | Xikai Xu,Jing Dong,Wei Wang,et al. An Adaptive Ensemble Classifier for Steganalysis Based on Dynamic Weighted Fusion[C]. 见:. Chengdu, China. October 23–24, 2015. |
入库方式： OAI收割
来源：自动化研究所
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