Experiments showed that it outperforms some methods such as non-linear SVM,Discriminant Tensor Rank-One Decomposition(DTROD),Sparse Network of Winnows(SNW)and so on.

• 物体分类实验结果表明,新算法优于非线性支持向量机,区别张量一阶分解(DTROD),稀疏网络模型(SNW)等方法。