Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition

Figure 8

curves of three classifiers. (a) ELM versus CCV-ELM, (b) SVM versus CCV-SVM, and (c) RF versus CCV-RF. The red curves represent original classifiers and the blue curves are the classifiers optimized by CCV.

(a)

(b)

(c)