Two kinds of targets on-line classification based on incremental SVDD

摘要：

　　In this paper,a novel classifier for classification problems,based on increment support vector data description,is proposed.The proposed method is the expand version of increment support vector data description by bring in two classes of sample.Because of the addition of two kinds of sample.This method can reflect the target sample distribution state more complete in super ball space.The results of the proposed approach on artificial data show that the proposed method can increase Classification accuracy.

关键词： On-line classification support vector data description Minimum enclosing sphere

作者: Bo Lei Huaitie Xiao Yu Guo

作者单位: College of Electronic Science and Engineering,National University of Defense Technology Changsha,China

会议类型: 国际会议

会议名称: 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference(ITOEC2017)(2017 IEEE 第3届信息技术与机电一体化工程国际学术会议)

会议地点: 重庆

会议语种:英文

页码: 1193-1196

在线出版日期: 2017-10-03（万方平台首次上网日期，不代表论文的发表时间）