The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
A Relevance Feedback Strategy Combining Bayesian and SVM
Author(s): 
Pages: 32-37
Year: Issue:  1
Journal: Journal of Chengdu University Of Information Technology

Keyword:  信号与信息处理图像检索贝叶斯(方法)支持向量机相关反馈正态分布;
Abstract: 相关反馈技术在提高图像检索性能方面发挥着重要作用,但图像检索过程中的相关反馈存在反馈次数过多,反馈效果不够理想等问题.为解决上述问题,提出一种贝叶斯和支持向量机相结合的反馈算法.实现方法是:用贝叶斯分类器对图像库进行分类,达到压缩图像库的目的,然后用支持向量机分类器对压缩之后的图像库进行分类,并反馈最终结果.研究结果表明,与支持向量机和贝叶斯算法相比,在很少的反馈次数下,该方法明显提高了反馈效果.
Related Articles
No related articles found