Fig. 2

Illustration of the MLW-gcForest (multi-weighted gcForest) model. The MLW-gcForest model is composed of multi-grained scanning and a cascade forest. We made two improvements in the multi-grained scanning module: we assign different weights to the random forests according to the classification performance of each random forest and name the weights α; and we assign corresponding weights to different sliding windows and name the weights β