Comments on Quasi-Linear Support Vector Machine for Nonlinear Classification

In 2014, the above paper entitled 'Quasi-Linear Support Vector Machine for Nonlinear Classification' was published by Zhou, et al. [1]. They proposed a quasi-linear kernel function support vector machine (SVM). However, in this letter, we point out that is part of multiple functions generated well-known learning which Bach, [2] 2004. Since then, there have been lot related papers on with several applications [3]. This letter verifies main [1] can be derived using algorithms construction, used Gaussian kernels, but had already discussed locality additive kernels or other framework [4][5]. Especially were tutorial at major international conference ECCV2012 [6]. The authors did not discuss these matters.