Indeed, Figure 2 shows that this is the case (the differences between the best Topic SVM results and the best LDAH-M results are statistically significant).
dixon's texts are randomly split into 5 or 3 subsets, depending on the other author (Rich or McTiernan respectively), and the base classifiers are trained on each subset of dixon's texts together with all the texts by the other judge.