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| 结合主动反馈的图像多分类框架 | |
| 引用本文： | 刘君,王银辉,李黎,张宇.结合主动反馈的图像多分类框架[J].计算机工程与设计,2011,32(4):1387-1390. |
| 作者姓名： | 刘君 王银辉 李黎 张宇 |
| 作者单位： | 1. 重庆广播电视大学,理工学院,重庆,400052;重庆大学,计算机学院,重庆,400030 2. 重庆大学,计算机学院,重庆,400030 3. 重庆市气象局,重庆,400000 |
| 基金项目： | 中国博士后科学基金，重庆市科委自然科学基金计划项目 |
| 摘 要： | 为了解决图像语义分类中的训练数据不对称、小样本训练和噪声数据这3个难题,提出结合主动反馈的图像多分类框架。该框架将主动选择的策略应用到图像的多分类中,通过主动的选择出不确定的图片给用户手动标记,扩大训练图片集,提高分类的精度。为了验证该框架的有效性,提出一种有效的结合主动选择的图像多分类算法,即结合投票的DDAGSVM(decision directed acyclic graph support vector machine)算法。该算法提出了新的主动选择策略,即结合投票和旁移机制的主动选择策略。实验结果表明,该算法能有效应用到图像多分类中,比DDAGSVM和采用普通主动选择策略的DDAGSVM具有更高的分类的精度。 |
| 关 键 词： | 多分类 图像分类 主动反馈 投票策略 决策导向无环图 |
Efficient active feedback scheme of image multi-class classification |
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| LIU Jun,WANG Yin-hui,LI Li,ZHANG Yu.Efficient active feedback scheme of image multi-class classification[J].Computer Engineering and Design,2011,32(4):1387-1390. | |
| Authors: | LIU Jun WANG Yin-hui LI Li ZHANG Yu |
| Affiliation: | LIU Jun1,2,WANG Yin-hui2,LI Li3,ZHANG Yu2(1.College of Science and Technology,Chongqing Radio and TV University,Chonqing 400052,China,2.College of Computer Science,Chongqing University,Chonqing 400030,3.Chongqing Meteorological Bureau,Chongqing 400000,China) |
| Abstract: | In order to solve three difficulties of image classification,including asymmetry of training data,small sample issue and noise sample problem,efficient active feedback scheme of image multi-class classification which introduce active selecting technique into image multi-class classification is proposed.By actively selecting doubtful images for users to label,more training samples can be gotten and more accurate classification can be done.In order to validate the scheme,an image multi-class classification al... |
| Keywords: | multi-class classification image classification active feedback voting strategy decision directed acyclic graph |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |