In order to solve the problem of long computation time in detecting caused by over-large optimization scale in SVDD,a dynamic support vector data description was proposed.After analyzing a new object’s influence on positive border,it was suggested that the boundary formed by kernel methods could be approximately replaced by boundary formed by polygonal lines.Thus,after adding new objects,the corresponding new boundary was only related with new objects and previous boundary,which means the optimization scale...
Tax等人提出的支持向量数据描述算法(Support Vector Data Description,SVDD)[1],已广泛应用于机械故障检测[2]、预警[3]、入侵检测[4]和人脸识别[5]中。然而,当数据量大时,对每个新加入的检测对象都要把之前的对象和新的对象作为计算数据集,重新进行二次优化计算,优化规模过大
| 
推荐 
点击下列相关研究机构和相关文献作者，可以直接查到这些机构和作者被《中国知识资源总库》收录的其它文献，使您全面了解该机构和该作者的研究动态和历史。
