Knowledge Commons of Institute of Automation,CAS
Subspace learning based active learning for image retrieval | |
Biao Niu; Yifan Zhang![]() ![]() ![]() ![]() | |
2013 | |
会议名称 | 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) |
会议录名称 | IEEE International Conference on Multimedia and Expo Workshops (ICMEW) |
页码 | 1-4 |
会议日期 | 2013 |
会议地点 | Fairmont San Jose,USA |
摘要 | The goal of relevance feedback is to improve the performance of image retrieval by leveraging the labeling of human. It is helpful to introduce active learning method in relevance feedback to alleviate the human burden. In the traditional active learning the samples which can improve the classifi- er the most if they were labeled are selected for the user’s labeling. However, the change of the geometrical structure of the data distribution caused by such expensive labeled sam- ples is not fully exploited. By mining user’s labeling infor- mation, we can reduce the original feature space dimension to ease the classifier’s instability brought by the small sam- ple size. In this paper, we propose a novel batch mode ac- tive learning method for informative data selection. The la- beled samples are not only used to retrain the classifier, but to learn a subspace which efficiently encodes user’s inten- tion as well. Especially, a scheme of certainty propagation on the subspace effectively integrates uncertainty sampling and subspace learning into the proposed Subspace learning based batch mode Active Learning method (SubAL) in rele- vance feedback. Extensive experiments on publicly available dataset shows that the proposed method is promising. |
关键词 | Image Retrieval Subspace Learning |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/4703 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Jinqiao Wang |
推荐引用方式 GB/T 7714 | Biao Niu,Yifan Zhang,Jinqiao Wang,et al. Subspace learning based active learning for image retrieval[C],2013:1-4. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Subspace learning ba(141KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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