A new Twin Support Vector Machine for Pattern Recognition

作者：Liu Xiaoming^*; Zhu Ting; Zhai Leilei

来源：9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Datong, 2016-10-15 To 2016-10-17.

DOI：10.1109/CISP-BMEI.2016.7852773

• mass classification
• l(2,1)-norm
• twin support vector machine with joint (l)(2,1) -norm

A new nonparallel twin support vector machine is presented in this article which combine l(2,1) -norm minimizing on both loss function and regularization which called (TWSVM_21). Our TWSVM_21 is formulated aiming to separate class more efficiently. Different from other nonparallel classifier, such as the presented TBSVM, the classifier we proposed in this paper joint l(2,1) -norm. Experiments on DDSM datasets show the feasibility and effectiveness of our TWSVM_21.

• 出版日期2016
• 单位武汉科技大学