| 基于保局投影的相关反馈算法 |
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| 引用本文： | 鲁珂,赵继东,吴跃,何晓飞. 基于保局投影的相关反馈算法[J]. 计算机辅助设计与图形学学报, 2007, 19(1): 20-24 |
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| 作者姓名： | 鲁珂 赵继东 吴跃 何晓飞 |
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| 作者单位： | 电子科技大学计算机科学和工程学院,成都,610054;Department of Computer Science,The University of Chicago,Chicago 60637 |
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| 基金项目： | 国家自然科学基金 , 四川省应用基础研究计划 |
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| 摘 要： | 在原有保局投影算法中引入用户反馈,用其更新构建降维映射的特征向量,从而得到一个更能够反映语义属性的图像表示子空间.该算法利用用户反馈迅速优化图像表示,使它具有长期学习的能力.实验结果表明:该算法可以提高检索的准确度,而且在经过长期学习后可以获得一个近似最优的图像降维子空间.
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| 关 键 词： | 保局投影 图像降维 相关反馈 长期学习 图像检索 |
| 收稿时间： | 2006-03-07 |
| 修稿时间： | 2006-03-072006-07-10 |
Relevance Feedbacks Algorithm Based on Locality Preserving Projections |
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| Lu Ke,Zhao Jidong,Wu Yue,He Xiaofei. Relevance Feedbacks Algorithm Based on Locality Preserving Projections[J]. Journal of Computer-Aided Design & Computer Graphics, 2007, 19(1): 20-24 |
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| Authors: | Lu Ke Zhao Jidong Wu Yue He Xiaofei |
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| Abstract: | Feedback Locality Preserving Projections(FLPP) incorporates user's feedbacks into LPP.By properly disposing user's feedbacks,FLPP can update the eigenvectors which span the image representation subspace,so we can obtain a semantic subspace which can better reflect intrinsic property of image data.FLPP can use user's feedbacks to optimize rapidly image representation,so gain capability of long-term learning.Experimental results show that FLPP can effectively improve retrieval accuracy,and after long-term learning,an approximate optimal subspace can be obtained. |
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| Keywords: | locality preserving projections image dimension reduction relevance feedback long-term learning image retrieval |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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